Learning discriminative appearance-based models using partial least squares

Proceedings of SIBGRAPI 2009 - 22nd Brazilian Symposium on Computer Graphics and Image Processing

Volumn , Issue , 2009, Pages 322-329

  Schwartz, William Robson ^a   Davis, Larry S ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPEARANCE BASED; APPEARANCE MODELING; APPEARANCE-BASED MODELS; DISCRIMINATIVE MODELS; FEATURE DESCRIPTORS; FEATURE SETS; MACHINE LEARNING TECHNIQUES; PARTIAL LEAST SQUARES; PEOPLE RECOGNITION; PERSON RECOGNITION; RECOGNITION RATES; STATISTICAL TOOLS; TRAINING SAMPLE;

IMAGE PROCESSING; IMAGING SYSTEMS; LEARNING ALGORITHMS; STATISTICAL MECHANICS;

COLOR COMPUTER GRAPHICS;

EID: 77949616478     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBGRAPI.2009.42     Document Type: Conference Paper

References (22)

1. Y. Amit, D. Geman, and K.Wilder. Joint Induction of Shape Features and Tree Classifiers. PAMI, 19(11):1300-1305, 1997.
2. A. Bosch, A. Zisserman, and X. Muoz. Image Classification using Random Forests and Ferns. In ICCV, pages 1-8, 2007.
3. C.-C. Chang and C.-J. Lin. LIBSVM: a library for support vector machines, 2001. Software available at www.csie.ntu.edu.tw/cjlin/libsvm.
4. D. Comaniciu, V. Ramesh, and P. Meer. Kernel-based Object Tracking. PAMI, 25(5):564-577, 2003.
5. N. Dalal and B. Triggs. Histograms of Oriented Gradients for Human Detection. In CVPR, 2005.
6. A. Elgammal, R. Duraiswami, and L. Davis. Probabilistic Tracking in Joint Feature-Spatial Spaces. In CVPR, volume 1, pages 781-788, 2003.
7. A. Ess, B. Leibe, and L. V. Gool. Depth and Appearance for Mobile Scene Analysis. In ICCV, 2007.
8. N. Gheissari, T. B. Sebastian, and R. Hartley. Person Reidentification Using Spatiotemporal Appearance. In CVPR, pages 1528-1535, 2006.
9. R. Haralick, K. Shanmugam, and I. Dinstein. Texture Features for Image Classification. IEEE Transactions on Systems, Man, and Cybernetics, 3(6), 1973.
10. J. Li, S. Zhou, and R. Chellappa. Appearance Modeling Under Geometric Context. In ICCV, volume 2, pages 1252-1259, 2005.
11. Z. Lin and L. S. Davis. Learning Pairwise Dissimilarity Profiles for Appearance Recognition in Visual Surveillance. In International Symposium on Advances in Visual Computing, pages 23-34, 2008.
12. S. Maji, A. Berg, and J. Malik. Classification Using Intersection Kernel Support Vector Machines is Efficient. In CVPR, 2008.
13. C. Nakajima, M. Pontil, B. Heisele, and T. Poggio. Fullbody Person Recognition System. Pattern Recognition, 36(9):1997-2006, 2003.
14. V. Rokhlin, A. Szlam, and M. Tygert. A Randomized Algorithm for Principal Component Analysis. ArXiv e-prints, 2008.
15. R. Rosipal and N. Kramer. Overview and Recent Advances in Partial Least Squares. Lecture Notes in Computer Science, 3940:34-51, 2006.
16. W. R. Schwartz, A. Kembhavi, D. Harwood, and L. S. Davis. Human Detection Using Partial Least Squares Analysis. In ICCV, 2009.
17. M. Varma and D. Ray. Learning the Discriminative Power-Invariance Trade-Off. In ICCV, pages 1-8, 2007.
18. X. Wang, G. Doretto, T. Sebastian, J. Rittscher, and P. Tu. Shape and Appearance Context Modeling. In ICCV, pages 1-8, 2007.
19. H. Wold. Partial Least Squares. In S. Kotz and N. Johnson, editors, Encyclopedia of Statistical Sciences, volume 6, pages 581-591. Wiley, New York, 1985.
20. B. Wu and R. Nevatia. Optimizing Discrimination-Efficiency Tradeoff in Integrating Heterogeneous Local Features for Object Detection. In CVPR, pages 1-8, 2008.
21. H. Zhang, A. Berg, M. Maire, and J. Malik. SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition. In CVPR, volume 2, pages 2126-2136, 2006.
22. W. Zhang, G. Zelinsky, and D. Samaras. Real-time Accurate Object Detection using Multiple Resolutions. In ICCV, 2007.