Michael Brooks

Michael Brooks

School of Computer Science and Information Technology

College of Engineering and Information Technology


Michael Brooks is an Emeritus Professor in the School of Computer Science at the University of Adelaide, previously serving as Deputy Vice-Chancellor (Research), Provost and Interim Vice-Chancellor. Professor Brooks has researched in the artificial intelligence and robotics fields of image and video understanding, publishing extensively in computer vision. He is a Fellow of both the Australian Computer Society and the Australian Academy of Technological Sciences and Engineering, and is the holder of an honorary doctorate from the University of Nottingham. He has served on numerous research institute boards, including the South Australian Health and Medical Research Institute, the Women’s and Children’s Health Research Institute, and National ICT Australia, the forerunner of CSIRO’s Data61. Professor Brooks is a former chair of Australia’s Group of Eight Committee of Deputy Vice-Chancellors Research, and chaired the Australian Research Council review of the Excellence in Research Australia quality assessment scheme for universities. He was a member of the expert committee overseeing the development of the 2018 Australian Code for the Responsible Conduct of Research (Code) and has had extensive experience in handling matters of research integrity.He is presently Chair of the Australian Research Integrity Committee which undertakes reviews of institutional processes used to manage and investigate potential breaches of the research integrity Code.

Research Interests 

Recovery of 3D object shape and depth from visual imagery: stereo vision; motion vision; shape from shading; metrology; self-calibration. Statistical vision-parameter estimation. Applications in vision: networked video surveillance, object detection and tracking, behaviour analysis, intruder detection,  depth and volume estimation, analysis of road accident and crime scene images, UAV video analysis; evolutionary feature programming.

Date Position Institution name
2021 - ongoing Emeritus Professor The University of Adelaide
2020 - 2021 Interim Vice-Chancellor and President The University of Adelaide
2020 - 2020 Acting Vice-Chancellor and President University of Adelaide
2019 - 2020 Provost University of Adelaide
2018 - 2019 Provost and Deputy Vice-Chancellor & Vice-President (Research) University of Adelaide
2008 - 2018 Deputy Vice-Chancellor & Vice-President (Research) University of Adelaide
2007 - 2008 Deputy Vice-Chancellor (Research) University of Adelaide
2007 - 2007 Pro Vice-Chancellor (Research Strategy) (8/2007) University of Adelaide
2007 - 2007 Chair, Research Quality Framework Board University of Adelaide
2003 - 2007 Head of School University of Adelaide
1992 - 2005 Program Leader, Image Analysis Program Cooperative Research Centre for Sensor Signal & Information Processing
1991 - 1998 Chair in Artificial Intelligence University of Adelaide
1991 - 1998 Associate Professor University of Adelaide
1989 - 1991 Reader in Computer Science Flinders University
1986 - 1991 Head of Discipline Flinders University
1985 - 1985 Lecturer in Computer Science University of Adelaide
1979 - 1980 Lecturer in Computer Studies Sheffield Polytechnic

Date Type Title Institution Name Country Amount
2015 Fellowship ATSE Fellow Academy of Technological Sciences & Engineering Australia -
2015 Fellowship Australian Computer Society Fellow Australian Computer Society Australia -
2004 Award Best Product in Intelligent Surveillance International Fire & Security Exhibition and Conference United Kingdom -
2003 Award Secrets of IT Innovation Winner Australian Government Australia -

Date Institution name Country Title
1983 University of Essex United Kingdom Ph.D. (Computer Science)
1976 University of Essex United Kingdom M.Sc. (Computer Science)
1975 University of Hull United Kingdom B.Sc. Hons (Mathematics)

Year Citation
2015 Chojnacki, W., Szpak, Z., Brooks, M., & van Den Hengel, A. (2015). Enforcing consistency constraints in uncalibrated multiple homography estimation using latent variables. Machine Vision and Applications, 26(2-3), 401-422.
DOI Scopus5 WoS4
2014 Niu, Y., Dick, A., & Brooks, M. (2014). Compass rose: A rotational robust signature for optical flow computation. IEEE Transactions on Circuits and Systems for Video Technology, 24(1), 63-73.
DOI Scopus4 WoS4
2013 Niu, Y., Dick, A., & Brooks, M. (2013). Linking local and global optical flow computation by subspace regularization. Optical Engineering, 52(3), 1-10.
DOI Scopus5 WoS2
2012 Niu, Y., Dick, A., & Brooks, M. (2012). Locally oriented optical flow computation. IEEE Transactions on Image Processing, 21(4), 1573-1586.
DOI Scopus5 WoS3 Europe PMC1
2009 Chojnacki, W., & Brooks, M. (2009). A note on the locally linear embedding algorithm. International Journal of Pattern Recognition and Artificial Intelligence, 23(8), 1739-1752.
DOI Scopus15 WoS8
2008 Scoleri, T., Chojnacki, W., & Brooks, M. (2008). Dimensionality reduction for more stable vision parameter estimation. IET Computer Vision, 2(4), 218-227.
DOI
2008 Shen, C., Li, H., & Brooks, M. (2008). Supervised dimensionality reduction via sequential semidefinite programming. Pattern Recognition, 41(12), 3644-3652.
DOI Scopus26 WoS25
2007 Chojnacki, W., & Brooks, M. (2007). On the consistency of the normalized eight-point algorithm. Journal of Mathematical Imaging and Vision, 28(1), 19-27.
DOI Scopus9 WoS7
2007 Shen, C., Brooks, M., & Van Den Hengel, A. (2007). Fast global kernel density mode seeking: Applications to localization and tracking. IEEE Transactions on Image Processing, 16(5), 1457-1469.
DOI Scopus73 WoS54 Europe PMC6
2005 Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2005). FNS, CFNS and HEIV: A unifying approach. Journal of Mathematical Imaging and Vision, 23(2), 175-183.
DOI Scopus28 WoS19
2004 Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2004). From FNS to HEIV: A link between two vision parameter estimation methods. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(2), 264-268.
DOI Scopus28 WoS24 Europe PMC3
2004 Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2004). A new constrained parameter estimator for computer vision applications. Image and Vision Computing, 22(2), 85-91.
DOI Scopus34 WoS24
2003 Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2003). Revisiting Hartley's normalized eight-point algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9), 1172-1177.
DOI Scopus60 WoS47
2001 Chojnacki, W., Brooks, M., & Van Den Hengel, A. (2001). Rationalising the renormalisation method of Kanatani. Journal of Mathematical Imaging and Vision, 14(1), 21-38.
DOI Scopus45 WoS37
2000 Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2000). On the fitting of surfaces to data with covariances. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11), 1294-1303.
DOI Scopus150 WoS121
2000 Kanatani, K., Shimizu, Y., Ohta, N., Brooks, M., Chojnacki, W., & Van Den Hengel, A. (2000). Fundamental matrix from optical flow: optimal computation and reliability evaluation. Journal of Electronic Imaging, 9(2), 194-202.
DOI Scopus12 WoS8
1999 Li, Y., & Brooks, M. (1999). Efficient recursive factorization method for determining structure from motion. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1, 138-143.
Scopus3
1998 Brooks, M., De Agapito, L., Huynh, D., & Baumela, L. (1998). Towards Robust Metric Reconstruction via a Dynamic Uncalibrated Stereo Head. Image and Vision Computing, 16(14), 989-1002.
DOI Scopus22 WoS18
1998 Chojnacki, W., Brooks, M., & Gibbins, D. (1998). On the feasibility of determining light-source direction from an image. Quarterly of Applied Mathematics, 56(2), 289-307.
DOI
1997 Brooks, M., Chojnacki, W., & Baumela, L. (1997). Determining the egomotion of an uncalibrated camera from instantaneous optical flow. Journal of the Optical Society of America A, 14(10), 2670-2677.
DOI Scopus37 WoS29
1997 Chojnacki, W., Brooks, M., & Gibbins, D. (1997). Can the Sun's Direction be Estimated from an Image Prior to the Computation of Object Shape?. Journal of Mathematical Imaging and Vision, 7(2), 139-147.
DOI Scopus4 WoS3
1996 Newsam, G., Huynh, D., Brooks, M., & Pan, H. (1996). Recovering unknown focal lengths in self-calibration: an essentially linear algorithm and degenerate configurations. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXI(Part 3B), 575-580.
1994 Chojnacki, W., Brooks, M. J., & Gihhins, D. (1994). Revisiting pentland’s estimator of light source direction. Journal of the Optical Society of America A Optics and Image Science and Vision, 11(1), 118-124.
DOI Scopus31 WoS27
1994 Vajdic, S. M., Katz, H. E., Downing, A. R., & Brooks, M. J. (1994). Artificial intelligence (AI)-based relational matching and multimodal medical image fusion: generalized 3D approaches. Proceedings of SPIE the International Society for Optical Engineering, 2308(p 3), 1565-1573.
Scopus3
1992 Brooks, M. J., Chojnacki, W., & Kozera, R. (1992). Impossible and ambiguous shading patterns. International Journal of Computer Vision, 7(2), 119-126.
DOI Scopus33 WoS29
1992 Brooks, M. J., Chojnacki, W., & Kozera, R. (1992). Circularly symmetric eikonal equations and non-uniqueness in computer vision. Journal of Mathematical Analysis and Applications, 165(1), 192-215.
DOI Scopus15 WoS15
1992 BROOKS, M. J., CHOJNACKI, W., & KOZERA, R. (1992). SHADING WITHOUT SHAPE. QUARTERLY OF APPLIED MATHEMATICS, 50(1), 27-38.
DOI WoS16
1991 GIBBINS, D., BROOKS, M. J., & CHOJNACKI, W. (1991). LIGHT-SOURCE DIRECTION FROM A SINGLE IMAGE - A PERFORMANCE ANALYSIS. AUSTRALIAN COMPUTER JOURNAL, 23(4), 165-174.
WoS4
1986 Horn, B. K. P., & Brooks, M. J. (1986). The variational approach to shape from shading. Computer Vision, Graphics, and Image Processing, 33(2), 174-208.
DOI Scopus481 WoS360
1978 Brooks, M. J. (1978). RATIONALIZING EDGE DETECTORS.. Comput Graphics Image Process, 8(2), 277-285.
DOI Scopus27 WoS19

Year Citation
2001 Stumpner, M., Corbett, D., & Brooks, M. (Eds.) (2001). AI 2001 : Advances in artificial intelligence : 14th Australian Joint Conference on Artificial Intelligence, Adelaide, Australia, December 10-14, 2001 : proceedings. Springer.
1990 Barter, C. J., & Brooks, M. J. (1990). Preface (Vol. 406 LNAI).
1979 Horn, B., & Brooks, M. J. (1979). Shape from Shading. MIT Press (MA).

Year Citation
2010 Chojnacki, W., Szpak, Z., Brooks, M., & Van Den Hengel, A. (2010). Multiple homography estimation with full consistency constraints. In Proceedings of DICTA 2010 (pp. 480-485). USA: IEEE.
DOI Scopus10
2009 Chojnacki, W., Hill, R., Van Den Hengel, A., & Brooks, M. (2009). Multi-projective Parameter Estimation for Sets of Homogeneous Matrices. In Proceedings of 2009 Digital Image Computing: Techniques and Applications (pp. 119-124). California: IEEE.
DOI Scopus2 WoS1
2009 Niu, Y., Dick, A., & Brooks, M. (2009). A new inconsistency measure for linear systems and two applications in motion analysis. In Proceeding of the 24th International Conference Image and Vision Computing New Zealand (VCNZ 2009) (pp. 276-281). USA: IEEE.
DOI Scopus2
2008 Shen, C., Li, H., & Brooks, M. (2008). Self-calibrating cameras using semidefinite programming. In Proceedings of the International Conference on Digital Image Computing - Techniques and Applications (DICTA'08) (pp. 436-441). Online: IEEE.
DOI
2008 Kumar, P., Brooks, M., & Dick, A. (2008). Multiple target tracking with an efficient compact colour correlogram. In Proceedings of the 10th International conference on control, automation, robotics and vision (pp. 1-6). USA: IEEE.
DOI Scopus5 WoS4
2008 Niu, Y., Dick, A., & Brooks, M. (2008). A new combination of local and global constraints for optical flow computation. In Proceedings of the IVCNZ 2008 (pp. 1-6). USA: IEEE.
DOI Scopus1
2008 Kumar, P., Dick, A., & Brooks, M. (2008). Integrated bayesian multi-cue tracker for objects observed from moving cameras. In Proceedings of the IVCNZ 2008 (pp. 1-6). USA: IEEE.
DOI Scopus4
2008 Kumar, P., Dick, A., & Brooks, M. J. (2008). A Novel Fragments-based Tracking Algorithm using Mean Shift. In 2008 10TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION: ICARV 2008, VOLS 1-4 (pp. 694-698). Hanoi, VIETNAM: IEEE.
DOI WoS11
2007 Chojnacki, W., van den Hengel, A., & Brooks, M. J. (2007). Generalised Principal Component Analysis: exploiting inherent parameter constraints. In J. Braz, A. Ranchordas, H. Araujo, & J. Jorge (Eds.), Advances in computer graphics and computer vision: International Conferences VISAPP and GRAPP 2006 Vol. 4 CCIS (pp. 217-228). Setubal, Portugal: Springer.
DOI Scopus2 WoS1
2007 Van Den Hengel, A., Chojnacki, W., & Brooks, M. (2007). Determining the translational speed of a camera from time-varying optical flow. In B. Jahne (Ed.), Complex motion [electronic resource]: first international workshop, IWCM 2004, Gunzburg, Germany, October 12-14, 2004: revised papers Vol. 3417 LNCS (pp. 1-8). Germany: Springer.
DOI Scopus2 WoS2
2007 Zhao, A., Brooks, M., & Dick, A. (2007). Enhanced appearance models for object tracking. In Yu Jin Zhang (Ed.), Proceedings of the Fourth International Conference on Image and Graphics (pp. 513-518). USA: IEEE.
DOI Scopus4 WoS2
2007 Chojnacki, W., & Brooks, M. (2007). A consistency result for the normalized eight-point algorithm. In Rita Cucchiara (Ed.), Proceedings of the 14th International Conference on Image Analysis and Processing (pp. 1-6). USA: IEEE.
DOI
2007 Niu, Y., Dick, A., & Brooks, M. (2007). Discontinuity-preserving optical flow computation by a dynamic overdetermined system. In M. Bottema (Ed.), Proceedings of DICTA 2007 (pp. 352-358). CDROM: IEEE.
DOI Scopus3
2007 Pooley, D., Brooks, M., & Van Den Hengel, A. (2007). RATSAC: An adaptive method for accelerated robust estimation and its application to video synchronisation. In M. Bottema (Ed.), Proceedings of DICTA 2007 (pp. 294-300). CDROM: IEEE.
DOI Scopus1
2007 Shen, C., Li, H., & Brooks, M. (2007). Feature extraction using sequential semidefinite programming. In M. Bottema (Ed.), Proceedings of DICTA 2007 (pp. 430-437). CDROM: IEEE.
DOI Scopus3
2007 Scoleri, T., Chojnacki, W., & Brooks, M. (2007). A decoupled algorithm for vision parameter estimation with application to the trifocal tensor. In M. Bottema (Ed.), Proceedings of DICTA 2007 (pp. 138-143). CDROM: IEEE.
DOI Scopus2
2007 Kumar, P., Brooks, M., & Van Den Hengel, A. (2007). An adaptive Bayesian technique for tracking multiple objects. In Ashish Ghosh (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4815 LNCS Vol. 4815 LNCS (pp. 657-665). Germany: Springer.
DOI Scopus2 WoS1
2007 Kumar, P., Brooks, M., & Dick, A. (2007). Adaptive multiple object tracking using colour and segmentation cues. In Yasushi Yagi (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4843 LNCS (PART 1) Vol. 4843 LNCS (pp. 853-863). Germany: Springer.
DOI Scopus7 WoS5
2007 Shen, C., Li, H., & Brooks, M. (2007). A convex programming approach to the trace quotient problem. In Yasushi Yagi (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4844 LNCS (PART 2) Vol. 4844 LNCS (pp. 227-235). Germany: Springer.
DOI Scopus12 WoS12
2006 Shen, C., Li, H., & Brooks, M. (2006). Classification-based likelihood functions for Bayesian tracking. In M. Piccardi, & T. Hintz (Eds.), Proceedings of AVSS 2006 (pp. CDROM1-CDROM6). CDROM: IEEE.
DOI Scopus2
2006 Chojnacki, W., Van Den Hengel, A., & Brooks, M. (2006). Constrained generalised principal component analysis. In A. Ranchordas, H. Araujo, & B. Encarnacao (Eds.), Proceedings of VISAPP 2006 Vol. 1 (pp. CDROM206-CDROM212). CDROM: INSTICC.
2005 Brooks, M., Dick, A., & Van Den Hengel, A. (2005). Towards intelligent networked video surveillance for the detection of suspicious behaviours. In P. Mendis, J. Lai, & E. Dawson (Eds.), Proceedings of the 2005 Science, Engineering and Technology Summit (pp. 153-161). Curtin, ACT: The Australian Homeland Security Research Centre.
2005 Shen, C., Van Den Hengel, A., & Brooks, M. (2005). Visual tracking via efficient kernel discriminant subspace learning. In C. Regazzoni, & F. De Natale (Eds.), Proceedings of the IEEE International Conference on Image Processing Vol. 2 (pp. 1-4). USA: IEEE.
DOI Scopus7
2005 Shen, C., Brooks, M., & Van Den Hengel, A. (2005). Augmented particle filtering for efficient visual tracking. In C. Regazzoni, & F. De Natale (Eds.), Proceedings of the IEEE International Conference on Image Processing Vol. 3 (pp. 1-4). USA: IEEE.
DOI Scopus10 WoS3
2005 Shen, C., Brooks, M., & Van Den Hengel, A. (2005). Fast global kernel density mode seeking with application to localisation and tracking. In S. Ma, & H. Shum (Eds.), Proceedings of the Tenth IEEE International Conference on Computer Vision Vol. II (pp. 1516-1523). Los Alamitos, California: IEEE.
DOI Scopus40 WoS19
2005 Shen, C., & Brooks, M. (2005). Adaptive over-relaxed mean shift. In A. Bouzerdoum, & A. Beghdadi (Eds.), Proceedings of the 8th International Symposium on Signal Processing and its Applications Vol. 2 (pp. 575-578). USA: IEEE.
DOI Scopus5
2005 Scoleri, T., Chojnacki, W., & Brooks, M. (2005). A multi-objective parameter estimator for image mosaicing. In A. Bouzerdoum, & A. Beghdadi (Eds.), Proceedings of the 8th International Symposium on Signal Processing and its Applications Vol. 2 (pp. 551-554). USA: IEEE.
DOI Scopus11 WoS4
2004 Dick, A., & Brooks, M. (2004). A stochastic approach to tracking objects across multiple cameras. In G. Webb, & X. Yu (Eds.), Proceedings of the 17th Australasian Joint Conference on Artificial Intelligence 2004 Vol. 3339 (pp. 160-170). Berlin, Germany: Springer.
DOI Scopus45 WoS21
2004 Shen, C., Van Den Hengel, A., Dick, A., & Brooks, M. (2004). Enhanced importance sampling: Unscented auxiliary particle filtering for visual tracking. In G. Webb, & X. Yu (Eds.), Proceedings of the 17th Australasian Joint Conference on Artificial Intelligence 2004 Vol. 3339 (pp. 180-191). Berlin, Germany: Springer.
DOI Scopus11 WoS6
2004 Shen, C., Van Den Hengel, A., Dick, A., & Brooks, M. (2004). 2D articulated tracking with dynamic Bayesian networks. In D. Wei, H. Wang, Z. Peng, A. Kara, & Y. He (Eds.), Proceedings of the 4th International Conference on Computer and Information Technology 2004 (pp. 1-7). Los Alamitos, California, USA: IEEE.
DOI Scopus9 WoS6
2003 Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2003). FNS, CFNS, and HEIV: extending three vision parameter estimation methods. In C. Sun, H. Talbot, S. Ourselin, & T. Adriaansen (Eds.), Digital Image Computing: Techniques and Applications - Proceedings of the VIIth Biennial Australian Pattern Recognition Society Conference - DICTA 2003 (pp. 449-458). Victoria, Australia: CSIRO Publishing.
2003 Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2003). FNS and HEIV: relating two vision parameter estimation frameworks. In M. Feretti (Ed.), Proceedings of the 12th International Conference on Image Analysis and Processing 2003 (pp. 152-157). California, USA: IEEE.
DOI Scopus2 WoS2
2003 Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2003). A statistical rationalisation of Hartley's normalised eight-point algorithm. In M. Feretti (Ed.), Proceedings of the 12th International Conference on Image Analysis and Processing 2003 (pp. 334-339). California, USA: IEEE.
DOI Scopus5 WoS1
2003 Van Den Hengel, A., Hill, R., & Brooks, M. (2003). Incorporating constraints into the design of locally identifiable calibration patterns. In L. Torres (Ed.), Proceedings of the IEEE International Conference on Image Processing 2003 Vol. 1 (pp. CDROM 1-CDROM 4). CDROM: IEEE.
DOI Scopus1 WoS1
2003 Pooley, D., Brooks, M., Van Den Hengel, A., & Chojnacki, W. (2003). A voting scheme for estimating the synchrony of moving-camera videos. In L. Torres (Ed.), Proceedings of the 2003 IEEE International Conference on Image Processing Vol. 1 (pp. CDROM 1-CDROM 4). CDROM: IEEE.
DOI Scopus20 WoS11
2003 Dick, A., & Brooks, M. (2003). Issues in automated visual surveillance. In C. Sun, H. Talbot, S. Ourselin, & T. Adriaansen (Eds.), Proceedings of the 7th Biennial Australian Pattern Recognition Society Conference - DICTA 2003 (pp. 195-203). Australia: CSIRO.
2002 Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2002). A new approach to constrained parameter estimation applicable to some computer vision problems. In D. Suter (Ed.), Proceedings of the Statistical Methods in Video Processing Workshop (pp. 43-48). Victoria, Australia: Monash University.
2002 Van Den Hengel, A., Chojnacki, W., Brooks, M., & Gawley, D. (2002). A new constrained parameter estimator: experiments in fundamental matrix computation. In P. L. Rosin, & D. Marshall (Eds.), Proceedings of the 13th British Machine Vision Conference (BMVC 2002) (pp. 468-476). UK: British Machine Vision Association.
DOI
2001 Brooks, M., Chojnacki, W., Gawley, D., & Van Den Hengel, A. (2001). Is covariance information useful in estimating vision parameters?. In S. El-Hakim, & A. Gruen (Eds.), Proceedings of SPIE - The International Society for Optical Engineering Vol. 4309 (pp. 195-203). PO BOX 10 BELLINGHAM WASHINGTON USA: THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS.
DOI
2001 Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2001). A fast MLE-based method for estimating the fundamental matrix. In P. Pitas (Ed.), Proceedings of the International Conference on Image Processing Vol. 2 (pp. CDROM 1-CDROM 4). CD-ROM: THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS.
DOI Scopus2
2001 Brooks, M., Chojnacki, W., Gawley, D., & Van Den Hengel, A. (2001). What value covariance information in estimating vision parameters?. In Bob Werner (Ed.), Proceedings of the Eighth IEEE International Conference on Computer Vision Vol. 1 (pp. 302-308). LOS ALAMITOS, CALIFORNIA, USA: IEEE COMPUTER SOCIETY.
DOI Scopus49 WoS35
2001 Chojnacki, W., Brooks, M. J., Hengel, A. V. D., & Gawley, D. (2001). A fast MLE-based method for estimating the fundamental matrix.. In ICIP (2) (pp. 189-192). IEEE.
2000 Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2000). Estimating vision parameters given data with covariances. In M. Mirmehdi, & B. Thomas (Eds.), Proceedings of the 11th British Machine Vision Conference 2000 (pp. 182-191). Bristol, UK: ILES Central Press.
2000 Chojnacki, W., Brooks, M., & Van Den Hengel, A. (2000). A simplified treatment of Kanatani's renormalisation method. In J. Wang (Ed.), Proceedings of ICARV 2000 - Sixth International Conference on Control, Automation, Robotics and Vision (pp. CD). Singapore: School of Electrical & Electronic Engineering, NTU.
2000 Chojnacki, W., Brooks, M., & Van Den Hengel, A. (2000). A framework for understanding renormalisation-type methods in computer vision. In J. Blanc Talon, D. Popescu, & G. Lasker (Eds.), Proceedings of Advanced Concepts for Intelligent Vision Systems ACIVS - 2000 (pp. 13-19). Ontario, Canada: The International Institute for Advanced Studies in Systems Research and Cybernetics.
2000 Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2000). A fast MLE-based method for estimating the fundamental matrix. In C. Sun, P. Ogunbona, W. Li, & R. Beare (Eds.), Proceedings of APRS/IEEE Workshop on Stereo Image and Video Processing (pp. 33-36). Australia: Australian Pattern Recognition Society.
1998 Brooks, M. J., Chojnacki, W., Dick, A., van den Hengel, A., Kanatani, K., & Ohta, N. (1998). Incorporating optical flow uncertainty information into a self-calibration procedure for a moving camera. In S. F. ElHakim, & A. Gruen (Eds.), Proceedings of SPIE Vol. 3641 Videometrics VI (pp. 183-192). San Jose, CA: SPIE.
DOI Scopus1
1998 Brooks, M. J., Chojnacki, W., van den Hengel, A., & Baumela, L. (1998). Robust techniques for the estimation of structure from motion in the uncalibrated case. In H. Burkhardt, & B. Neumann (Eds.), Computer Vision - ECCV'98: proceedings vol.1 Vol. 1406 (pp. 281-295). Freiburg, Germany: Springer.
DOI Scopus3
1998 de Agapito, L., Huynh, D. Q., & Brooks, M. J. (1998). Self-calibrating a stereo head: An error analysis in the neighbourhood of degenerate configurations. In Proceedings of the IEEE International Conference on Computer Vision (pp. 747-753). BOMBAY, INDIA: NAROSA PUBLISHING HOUSE.
DOI Scopus6 WoS2
1997 Brooks, M. J., Baumela, L., & Chojnacki, W. (1997). Egomotion from optical flow with an uncalibrated camera. In J. Biemond, & E. J. Delp (Eds.), Proceedings of SPIE the International Society for Optical Engineering Vol. 3024 (pp. 220-228). SAN JOSE, CA: SPIE - INT SOC OPTICAL ENGINEERING.
DOI Scopus2 WoS2
1996 Gibbins, D., Newsam, G. N., & Brooks, M. J. (1996). Detecting suspicious background changes in video surveillance of busy scene. In IEEE Workshop on Applications of Computer Vision Proceedings (pp. 22-26). SARASOTA, FL: I E E E, COMPUTER SOC PRESS.
DOI Scopus19 WoS14
1996 Brooks, M. J., De Agapito, L., Huynh, D. Q., & Baumela, L. (1996). Direct methods for self-calibration of a moving stereo head. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 1065 (pp. 413-426). Springer Berlin Heidelberg.
DOI Scopus9
1996 Newsam, G., Huynh, D. Q., Brooks, M. J., & Pan, H. P. (1996). Recovering unknown focal lengths in self-calibration: An essentially linear algorithm and degenerate configurations.. In Proc. ISPRS-Congress Vol. 31 (pp. 575-580). Vienna.
1995 Brooks, M. J., Chojnacki, W., & van den Hengel, A. (1995). Solving the shape-from-shading problem on the CM-5. In Proceedings: CAMP '95 Conference on Computer Architectures for Machine Perception (pp. 196-201). Como, Italy: IEEE.
DOI
1995 Pan, H. P., Brooks, M. J., & Newsam, G. N. (1995). Image resituation: Initial theory. In S. F. ElHakim (Ed.), Proceedings of SPIE the International Society for Optical Engineering Vol. 2598 (pp. 162-173). PHILADELPHIA, PA: SPIE - INT SOC OPTICAL ENGINEERING.
DOI Scopus11 WoS5
1995 VAJDIC, S., BOUZERDOUM, A., BROOKS, M., DOWNING, A., & KATZ, H. (1995). 3D image registration: Neural networks, knowledge-based analysis and automatic algorithms. In U. Rembold, R. Dillmann, L. O. Hertzberger, & T. Kanade (Eds.), INTELLIGENT AUTONOMOUS SYSTEMS - IAS-4 (pp. 262-269). KARLSRUHE, GERMANY: I O S PRESS.
1995 Vajdic, S. M., Bouzerdoum, A., Brooks, M. J., Downing, A. R., & Katz, H. E. (1995). Neural network region-based inexact relational medical image matching. In G. F. Forsyth, & M. Ali (Eds.), Proceedings of the 8th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems Iea Aie 1995 (pp. 77-86). MELBOURNE, AUSTRALIA: GORDON AND BREACH SCIENCE PUBL.
1995 Vajdic, S. M., Bouzerdoum, A., Brooks, M. J., Downing, A. R., & Katz, H. E. (1995). Neural network architectures: Medical image segmentation approach as a step towards medical image fusion. In G. F. Forsyth, & M. Ali (Eds.), Proceedings of the 8th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems Iea Aie 1995 (pp. 93-98). MELBOURNE, AUSTRALIA: GORDON AND BREACH SCIENCE PUBL.
1994 VAJDIC, S. M., KATZ, H. E., DOWNING, A. R., & BROOKS, M. J. (1994). AI-BASED RELATIONAL MATCHING AND MULTIMODAL MEDICAL IMAGE FUSION - GENERALIZED 3D APPROACHES. In A. K. Katsaggelos (Ed.), VISUAL COMMUNICATIONS AND IMAGE PROCESSING '94, PTS 1-3 Vol. 2308 (pp. 1565-1573). CHICAGO, IL: SPIE - INT SOC OPTICAL ENGINEERING.
DOI WoS2
1994 Brooks, M. J., & Chojnacki, W. (1994). Direct Computation of Shape from Shading. In Proceedings International Conference on Pattern Recognition Vol. 1 (pp. 114-119). JERUSALEM, ISRAEL: I E E E, COMPUTER SOC PRESS.
DOI Scopus15 WoS8
1994 Vajdic, S. M., Katz, H. E., Downing, A. R., & Brooks, M. J. (1994). Artificial intelligence and registration of functional and structural images: generalised 2D approaches. In Proceedings of the IEEE International Conference on Systems Man and Cybernetics Vol. 1 (pp. 1030-1035). SAN ANTONIO, TX: I E E E.
Scopus1 WoS1
1990 ZELINSKY, A. (1990). ENVIRONMENT MAPPING WITH A MOBILE ROBOT USING SONAR. In C. J. BARTER, & M. J. BROOKS (Eds.), AI 88 Vol. 406 (pp. 363-378). ADELAIDE, AUSTRALIA: SPRINGER-VERLAG BERLIN.
1990 Suter, D., & Cohen, H. A. (1990). Incorporating knowledge via regularization theory: Applications in vision and image processing. In C. J. BARTER, & M. J. BROOKS (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 406 LNAI (pp. 379-394). ADELAIDE, AUSTRALIA: SPRINGER-VERLAG BERLIN.
DOI
1990 SKINNER, D. R., & BENKE, K. K. (1990). A MACHINE VISION SYSTEM WITH LEARNING CAPABILITIES. In C. J. BARTER, & M. J. BROOKS (Eds.), AI 88 Vol. 406 (pp. 328-346). ADELAIDE, AUSTRALIA: SPRINGER-VERLAG BERLIN.
1990 JARVIS, R. A. (1990). RANGE FROM OUT OF FOCUS BLUR. In C. J. BARTER, & M. J. BROOKS (Eds.), AI 88 Vol. 406 (pp. 347-362). ADELAIDE, AUSTRALIA: SPRINGER-VERLAG BERLIN.
1983 Brooks, M. J. (1983). TWO RESULTS CONCERNING AMBIGUITY IN SHAPE FROM SHADING.. In undefined (pp. 36-39).
Scopus16

Year Citation
2010 Brooks, M. J., Gibbins, D., & Newsam, G. (2010). US7688997 B2, Non-Motion Detection. USA.

ARC Discovery Grant 2005-2007 

Prof MJ Brooks

Multi-objective parameter estimation techniques for computer vision 
  • 2005 : $101,000

  • 2006 : $79,000

  • 2007 : $81,000

Category : ARTIFICIAL INTELLIGENCE AND SIGNAL AND IMAGE PROCESSING 



Administering Institution : The University of Adelaide   



This project will benefit Australia's scientific knowledge and technology base in the area of computer vision. By contributing improved methods for parameter estimation applicable to a wide variety of technical problems, the project will aid the generation of improved software products in a wide variety of domains. Examples include: augmented reality systems, with which virtual reality artifacts may be immersed within real video; 3D from 2D systems, with which 3D object structure may be computed from image streams; and visual robotic systems, with which the pose of viewed objects may be determined. 

ARC Discovery Grant 2007-2009 

Prof MJ Brooks and Dr AR Dick

Automated acquisition of surveillance-camera network topology 
  • 2007 : $67,000

  • 2008 : $67,000

  • 2009 : $67,000

Category : ARTIFICIAL INTELLIGENCE AND SIGNAL AND IMAGE PROCESSING 



Administering Institution : The University of Adelaide   



The development of an automated system for acquisition of camera network topology is a crucial prerequisite to obtaining intelligent surveillance systems operating at the network level. Such systems will contribute improved methods for safeguarding Australia from terrorism and crime by facilitating the tracking of suspicious individuals and vehicles, and detecting anomalous behaviours in busy environments. The leading-edge techniques involved will also constitute smart information use of significant commercial value to Australian industry.

ARC Discovery Grant 2008-2010 

Prof MJ Brooks 

Enhanced parameter estimation for multi-component fitting in computer vision 
  • 2008 : $85,000

  • 2009 : $85,000

  • 2010 : $80,000



Category : ARTIFICIAL INTELLIGENCE AND SIGNAL AND IMAGE PROCESSING 



Administering Institution : The University of Adelaide   



Computer vision is concerned with the development of computational methods that endow machines with the capacity to interpret their visual environment. Emerging applications include automated methods for analysing behaviour exhibited in video and improved techniques for generating special effects in movies. Many vision problems require high-accuracy estimation of parameters embedded within a mathematical model, an area that has seen enormous progress over the last decade. This project will develop leading edge techniques for simultaneously computing parameters that characterise multiple components (such as several objects in motion) rather than a single component, a critical remaining challenge in the field.

Teaching

Artificial Intelligence, Computer Vision

Date Role Research Topic Program Degree Type Student Load Student Name
2007 - 2008 Co-Supervisor Efficient Embedding of Meshes and Hypercubes on a Group of Future Network Architectures Doctor of Philosophy Doctorate Full Time Miss Yawen Chen
2007 - 2010 Principal Supervisor Optical Flow Estimation in the Presence of Fast or Discontinuous Motion Doctor of Philosophy Doctorate Full Time Ms Yan Niu
2003 - 2006 Principal Supervisor Robust Visual Tracking in Image Sequences Doctor of Philosophy Doctorate Full Time Prof Chunhua Shen
2002 - 2008 Co-Supervisor Fundamental Numerical Schemes for Parameter Estimation in Computer Vision Doctor of Philosophy Doctorate Full Time Dr Tony Scoleri
2000 - 2008 Principal Supervisor Reconstructing 3D Geometry from Multiple Images via Inverse Rendering Doctor of Philosophy Doctorate Full Time Mr John Bastian
2000 - 2008 Co-Supervisor The Automated Synchronisation of Independently Moving Cameras Doctor of Philosophy Doctorate Full Time Dr Daniel Pooley
1999 - 2004 Principal Supervisor Towards an estimation framework for some problems in computer vision Doctor of Philosophy Doctorate Full Time Dr Darren Gawley
1998 - 2005 Principal Supervisor Surface Reconstruction from Three Dimensional Range Data Doctor of Philosophy Doctorate Part Time Mr Andrew Peter Myers

Date Role Board name Institution name Country
2009 - ongoing Director Board of Directors Adelaide Research & Innovation Australia
2005 - ongoing Director Board of Directors NICTA (National ICT Australia) Australia
2000 - 2003 Director Board of Directors Unibooks Pty Ltd Australia
1993 - 1995 Director Board of Directors Camtech Pty Ltd Australia

Date Role Editorial Board Name Institution Country
2015 - ongoing Associate Editor International Journal of Computer Vision - Australia
2015 - ongoing Associate Editor IET Computer Vision IET Computer Vision Australia