Wer ist mike brooks

„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 Scopus2 WoS1 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 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 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 Scopus10 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 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 Scopus4 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 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 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