Motion detection with non-stationary background

Proceedings - 11th International Conference on Image Analysis and Processing, ICIAP 2001

Volumn , Issue , 2001, Pages 78-83

  Ren, Ying ^a   Chua, Chin Seng ^a   Ho, Yeong Khing ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ANALYSIS; PIXELS;

BACKGROUND PIXELS; BACKGROUND SUBTRACTION; BACKGROUND SUBTRACTION ALGORITHMS; ENVIRONMENTAL CHANGE; MOVING-OBJECT DETECTION; NON-STATIONARY BACKGROUNDS; SMALL MOVING OBJECTS; STATISTICAL MODELING;

MOTION COMPENSATION;

EID: 84869471997     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIAP.2001.956988     Document Type: Conference Paper

References (10)

1. S. Araki, T. Matsuoka, H. Takemura, and N. Yokoya. Real-time tracking of multiple moving objects in moving camera image sequences using robust statistics. Proceedings of the 14th International Conference on Pattern Recognition, pages 1433-1435, 1998.
2. D.Murray and A. Basu. Motion tracking with an active camera. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(5):449-459, 1994.
3. N. Friedman and S. Russell. Image segmentation in video sequences: a probabilistic approach. Proceedings of the 13th Conference on Uncertainty in Artificial Intelligence, pages 1-3, 1997.
4. I. Haritaoglu, L. S. Davis, and D. Harwood. W4: who? when? where? what? a real time system for detecting and tracking people. Proceedings of the 3th IEEE International Conference on Automatic Face and Gesture Recognition, pages 222-227, 1998.
5. T. Kanade, R. T. Collins, and A. J. Lipton. Advances in coorperative multi-sensor video surveillance. Proceedings of DARPA, 1998.
6. Y. Ren, C. S. Chua, and Y. K. Ho. Multiple-model based human tracking. Proceedings of the International Conference on Visual Interface, pages 280-285, 2000.
7. S.Rowe and A. Blake. Statistical mosaic for tracking. Image and Vision Computing, 14:549-564, 1996.
8. C. Stauffer and W. Grimson. Adaptive background mixture models for real-time tracking. Proceedings of International Conference on Computer Vision and Pattern Recognition, pages 246-252, 1999.
9. K. Toyama, J. Krumm, B. Brumitt, and B. Meyers. Wallflower: Principles and practice of background maintenance. Proceedings of International Conference on Computer Vision, pages 255-261, 1999.
10. C. R. Wren, A. Azarbayejani, T. Darrell, and A. Pent-land. Pfinder: Real-time tracking of the human body. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7):780-785, 1997.