DETECTING HUMANS IN VIDEO SEQUENCES USING STATISTICAL COLOR AND SHAPE MODELS

2001 ii ACKNOWLEDGMENTS I would like to thank my parents for their endless support, guidance, and love. Their unbounded faith makes nothing seem unconquerable. I would also like to thank Dr. Michael Nechyba for sharing his extensive knowledge, as well as for his patience and time. I would like to thank Dr. A. Antonio Arroyo for giving me the opportunity to find and explore new fields. Special thanks go to Dr. Keith Doty who gave me the tools to explore these fields, and allowed me the freedom to do so on my own terms. Thanks go to Scott Nichols for providing an avenue to express and develop new ideas, and delivering undissembled feedback at all times. Additional thanks go to

[1]  Ales Ude,et al.  Robust estimation of human body kinematics from video , 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).

[2]  Shaogang Gong,et al.  Tracking and segmenting people in varying lighting conditions using colour , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

[3]  Michael J. Black,et al.  Cardboard people: a parameterized model of articulated image motion , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[4]  Tucker R. Balch,et al.  Distributed sensor fusion for object position estimation by multi-robot systems , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[5]  Robert J. Schalkoff,et al.  Pattern recognition - statistical, structural and neural approaches , 1991 .

[6]  Robert M. Gray,et al.  An Algorithm for Vector Quantizer Design , 1980, IEEE Trans. Commun..

[7]  Larry S. Davis,et al.  W/sup 4/: Who? When? Where? What? A real time system for detecting and tracking people , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

[8]  Alex Pentland,et al.  Pfinder: real-time tracking of the human body , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[9]  Gerhard Rigoll,et al.  Person tracking in real-world scenarios using statistical methods , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

[10]  Dariu Gavrila,et al.  The Visual Analysis of Human Movement: A Survey , 1999, Comput. Vis. Image Underst..

[11]  Takeo Kanade,et al.  A statistical approach to 3d object detection applied to faces and cars , 2000 .

[12]  Hironobu Fujiyoshi,et al.  Moving target classification and tracking from real-time video , 1998, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201).