„NCIS: L.A.“-Set-Koordinator Mike Brooks (†46) bereicherte seit 2009 den Filmstab rund um LL Cool J (50), Linda Hunt (73) und Co. Im November dieses Jahres verstarb Mike, der an insgesamt 200 Episoden „Navy CIS: L.A.“ mitgewirkt hatte. Grund genug, dem Crew-Mitglied die letzte Ehre zu erweisen.
„Navy CIS: L.A.“ gedenkt Mike Brooks
Am Ende der „Navy CIS: L.A.“-Episode „Joyride“ entschied man sich, in die Credits „Rest in Peace Mike Brooks“ einzubauen, um dem herben Verlust Ausdruck zu verleihen. Die Folge wurde am 16. Dezember in den USA ausgestrahlt.
Mike Brooks hatte in seiner 25 Jahre langen Karriere nicht nur „Navy CIS: L.A.“ bereichert, sondern arbeitete als Set-Koordinator auch an „Jurassic Park“ oder „Buffy – Im Bann der Dämonen“. Eine Todesursache wurde nicht bekanntgegeben.
Innerhalb des „Navy CIS: L.A.“-Universums musste im Laufe der zehnten Staffel ebenfalls auf einen Fan-Liebling verzichtet werden. Linda Hunt spricht über „Hettys“ Verschwinden aus der Serie, beteuert dabei aber auch, dass ihr Charakter NCIS: L.A. erhalten bleibt.
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
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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
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 Scopus2
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
2007
Chojnacki, W., van den Hengel, A., & Brooks, M. (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
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 Scopus1
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
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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
Scopus39 WoS18
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
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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
Scopus41 WoS20
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
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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. Rosin, & D. Marshall (Eds.), Proceedings of the 13th British Machine Vision Conference (pp. 468-476). UK: BMVA.
2002
Hengel, A. V. D., Brooks, M. J., Chojnacki, W., & Gawley, D. (2002). A new constrained parameter estimator: experiments in fundamental matrix computation. In P. L. Rosin, & A. D. Marshall (Eds.), Proceedings of the British Machine Vision Conference 2002, BMVC 2002 (pp. 468-476). Cardiff, UK: British Machine Vision Association.
DOI
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.
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 Scopus44 WoS31
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., 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. 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
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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 Scopus20 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., 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 OF THE 12TH IAPR INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION - CONFERENCE A: COMPUTER VISION & IMAGE PROCESSING (pp. 114-119). JERUSALEM, ISRAEL: I E E E, COMPUTER SOC PRESS.
DOI 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
1983
Brooks, M. (1983). TWO RESULTS CONCERNING AMBIGUITY IN SHAPE FROM SHADING.. In Unknown Conference (pp. 36-39).
Scopus16