Illumination normalization with time-dependent intrinsic images for video surveillance

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 26, Issue 10, 2004, Pages 1336-1347

  Matsushita, Yasuyuki ^a   Nishino, Ko ^b   Ikeuchi, Katsushi ^c   Sakauchi, Masao ^c  

^a MICROSOFT RESEARCH ASIA   (China)

^b Fu Foundation School of Engineering and Applied Science   (United States)

^c INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; IMAGE ANALYSIS; LIGHTING; MAXIMUM LIKELIHOOD ESTIMATION; MONITORING; OBJECT RECOGNITION; TRACKING (POSITION); VIDEO CAMERAS;

ILLUMINATION NORMALIZATION; INTRINSIC IMAGES; REFLECTANCE IMAGE; ROBUST TRACKING; SHADOW REMOVAL; VIDEO SURVEILLANCE;

COMPUTER VISION;

ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; ILLUMINATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; LIGHT; MATHEMATICAL COMPUTING; METHODOLOGY; MOVEMENT (PHYSIOLOGY); ORGANIZATION AND MANAGEMENT; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; THREE DIMENSIONAL IMAGING; TIME; VALIDATION STUDY; VIDEORECORDING;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; LIGHT; LIGHTING; MOVEMENT; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SECURITY MEASURES; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE; TIME FACTORS; VIDEO RECORDING;

EID: 4644312434     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2004.86     Document Type: Article

References (21)

1. A. Laurentini, "The Visual Hull Concept for Silhouette-Based Image Understanding," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 16, no. 2, pp. 150-162, Feb. 1994.
2. C. Jiang and M.O. Ward, "Shadow Identification," Proc. IEEE Int'l Conf. Computer Vision and Pattern Recognition, pp. 606-612, 1992.
3. D. Koller, K. Daniilidis, and H.H. Nagel, "Model-Based Object Tracking in Monocular Image Sequences of Road Traffic Scenes," Int'l J. Computer Vision, vol. 10, pp. 257-281, 1993.
4. E.H. Adelson and A.P. Pentland, "The Perception of Shading and Reflectance," Perception as Bayesian Inference, pp. 409-423, 1996.
5. E.H. Land, "The Retinex Theory of Color Vision," Scientific Am., vol. 237G, no. 6, pp. 108-128, Dec. 1977.
6. G.D. Finlayson, S.D. Hordley, and M.S. Drew, "Removing Shadows from Images," Proc. European Conf. Computer Vision, vol. 4, pp. 823-836, 2002.
7. H.G. Barrow and J.M. Tenenbaum, "Recovering Intrinsic Scene Characteristics from Images," Computer Vision Systems, pp. 3-26, 1978.
8. J. Huang and D. Mumford, "Statistics of Natural Images and Models," Proc. Conf. Computer Vision and Pattern Recognition, pp. 541-547, 1999.
9. J. Stauder, R. Mech, and J. Ostermann, "Detection of Moving Cast Shadows for Object Segmentation," IEEE Trans. Multimedia, vol. 1, no. 1, pp. 65-76, Mar. 1999.
10. K. Grauman, G. Shakhnarovich, and T. Darrell, "A Bayesian Approach to Image-Based Visual Hull Reconstruction," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 187-194, 2003.
11. K. Toyama, J. Krumm, B. Brumitt, and B. Meyers, "Wallflower: Principles and Practice of Background Maintenance," Proc. Int'l Conf. Computer Vision, pp. 255-261, 1999.
12. K.M. Cheung, S. Baker, and T. Kanade, "Shape-from-Silhouette of Articulated Objects and Its Use for Human Body Kinematics Estimation and Motion Capture," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 77-84, 2003.
13. M. Bell and W.T. Freeman, "Learning Local Evidence for Shading and Reflection," Proc. Int'l Conf. Computer Vision, vol. 1, pp. 670-677, 2001.
14. M. Kilger, "A Shadow Handler in a Video-Based Real-Time Traffic Monitoring System," Proc. IEEE Workshop Applications of Computer Vision, pp. 11-18, 1992.
15. M. Potmesil, "Generating Octree Models of 3D Objects from Their Silhouettes in a Sequence of Images," Computer Vision Graphics and Image Processing, vol. 40, pp. 1-20, 1987.
16. M. Turk and A. Pentland, "Eigenfaces for Recognition," The J. Cognitive Neuroscience, vol. 3, no. 1, pp. 71-86, 1991.
17. M.F. Tappen, W.T. Freeman, and E.H. Adelson, "Recovering Intrinsic Images from a Single Image," Advances in Neural Information Processing Systems 15, MIT Press, 2002.
18. N. Katayama and S. Satoh, "The SR-Tree: An Index Structure for High-Dimensional Nearest Neighbor Queries," Proc. 1997 ACM SIGMOD Int'l Conf. Management of Data, pp. 369-380, 1997.
19. N. Otsu, "A Threshold Selection Method from Gray Level Histograms," IEEE Trans. Systems, Man, and Cybernetics, vol. 9, pp. 62-66, 1979.
20. W.H. Press, S.A. Tuekolsky, W.T. Vetterling, and B.P. Flannery, Numerical Recipes in C: The Art of Scientific Computing, second ed. Cambridge Univ. Press, 1992.
21. Y. Weiss, "Deriving Intrinsic Images from Image Sequences," Proc. Ninth IEEE Int'l Conf. Computer Vision, pp. 68-75, July 2001.