Joint correspondence and background modeling based on tree dynamic programming

Proceedings - International Conference on Pattern Recognition

Volumn 2, Issue , 2006, Pages 425-428

  Rao, Naveed I ^a   Di, Huijun ^a   Xu, Guangyou ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC PROGRAMMING; IMAGE SEGMENTATION; MATHEMATICAL MODELS; PIXELS; PROBLEM SOLVING; TREES (MATHEMATICS);

BACKGROUND MODELS; FOREGROUND SEGMENTATION; MOVING CAMERA; PARALLAX EFFECTS;

CAMERAS;

EID: 34047220860     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.732     Document Type: Conference Paper

References (8)

1. C. Stauffer and W. Grimson, "Learning Patterns of Activity using Real-time Tracking," TPAMI, 2000
2. N. Friedman and S. Russell, "Image Segmentation in Video Sequences: A Probabilistic Approach," The Thirteenth Conference on Uncertainity in Artificial Intelligence, 1997
3. Annu Mittal and Dan HuttenLocher, "Scene Modeling for Wide Area Surveillance and Image Synthesis" CVPR, 2000 [4] J. Kang, I. Cohen and C. Yuan, "Detection and Tracking of Moving Objects from a Moving Platform in Presence of Strong Parallax", CVPR 2005
4. T. Cormen, C.Leiserson and R. Rivest. Introduction to Algorithms. MIT Press, 1990
5. Olga Veksler, "Stereo Correspondence by Dynamic Programming on a Tree". CVPR, 2005
6. Inna Stainvas and David Lowe, "A Generative Model for Separating Illumination and Reflectance from Images", Journal of Machine Learning Research 4(2003) 1499-1519
7. Yaser Sheikh and Mubarik Shah, "Bayesian Object Detection in Dynamic Scenes", CVPR 05
8. Ahmed Elgammal, Ramani Duraisawami, D. Harwood and Larry S. Davis, "Background and foreground modeling using nonparametric Kernel Density Estimation for Visual Surveillance", Proceedings of IEEE, Vol.90, No.7, July02