A nonparametric treatment for location/segmentation based visual tracking

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2007, Pages

  Lu, Le ^a   Hager, Gregory D ^b  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE RESOLUTION; MATHEMATICAL MODELS; ONLINE SYSTEMS; PROBLEM SOLVING; TRACKING (POSITION);

BACKGROUND APPEARANCE MODELS; VISUAL TRACKING;

IMAGE SEGMENTATION;

EID: 34948892116     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.382976     Document Type: Conference Paper

References (25)

1. S. Avidan, Ensemble Tracking, CVPR 2005.
2. Y. Boykov and M. Jolly, Interactive Graph Cuts for Optimal boundary and Region Segmentation of Objects in n-d Images, ICCV, 2001.
3. Chih-Chung Chang and Chih-Jen Lin, LIBSVM: a library for support vector machines, http://www.csie.ntu.edu.tw/~cjlin/libsvm, 2001.
4. Y.-Y Chuang, A. Agarwala, B. Curless, D. Salesin and R. Szeliski, Video Matting of Complex Scenes, Proceedings of SIGGRAPH 2002, San Antonio.
5. D. Comaniciu and P. Meer, Mean shift: A robust approach toward feature space analysis. IEEE Trans. PAMI, 2002.
6. R. Duda, P. Hart and D. Stork, Pattern Classification (2nd ed.), Wiley Interscience, 2001.
7. P. Felzenszwalb and D. Huttenlocher, Efficient Graph-Based Image Segmentation, IJCV, 2004.
8. B. Han and L. Davis, On-Line Density-Based Appearance Modeling for Object Tracking, ICCV 2005.
9. D. Hoiem, A. Efros and M. Hebert, Geometric Context from a Single Image, ICCV 2005.
10. D. Hoiem, A. Efros and M. Hebert, Recovering Surface Layout from an Image, IJCV, 2006.
11. A. Ihler, Kernel Density Estimation Matlab Toolbox, http://www.ics.uci. edu/~ihler/code/kde.shtml, 2004.
12. A. Jepson, D. Fleet and T. El-Maraghi, Robust Online Appearance Models for Visual Tracking, CVPR 2001.
13. N. Jojic, J. Winn and L. Zitnick, Escaping Local Minima through Hierarchical Model Selection: Automatic Object Discovery, Segmentation, and Tracking in Video, CVPR 2006.
14. S. Kumar and M. Hebert, A Hierarchical Field Framework for Unified Context-Based Classification, ICCV, 2005.
15. K. Levi and Y Weiss, Learning Object Detection from a Small Number of Examples: The Importance of Good Features, CVPR, 2004.
16. Y Li, J. Sun, C.-K. Tang and H.-Y Shum, Lazy Snapping, SIGGRAPH, 2004.
17. Y Li, J. Sun and H.-Y Shum. Video Object Cut and Paste, SIGGRAPH, 2005.
18. L. Lu and G. Hager, Dynamic Foreground/Background Extraction from Images and Videos using Random Patches, NIPS 2006.
19. A. Mittal and N. Paragios, Motion-based Background Substraction using Adaptive Kernel Density Estimation, CVPR, 2004.
20. H.T. Nguyen and A. W.M. Smeulders, Robust Tracking using Foreground-Background Texture Discrimination, International Journal on Computer Vision, 2006.
21. R. Pless, T. Brodský and Y Aloimonos, Detection Independent Motion: The Statistics of Temporal Continuity, IEEE Trans PAMI, 2000.
22. X. Ren and J. Malik, Learning a classification model for segmentation, ICCV, 2003.
23. C. Rother, V. Kolmogorov and A. Blake, Interactive Foreground Extraction using Iterated Graph Cuts, SIGGRAPH, 2004.
24. Yaser Sheikh and Mubarak Shah, Bayesian Object Detection in Dynamic Scenes, CVPR, 2005.
25. J. Wang, P. Bhat, A. Colburn, M. Agrawala and M. Cohen, Interactive Video Cutout. SIGGRAPH, 2005.