Integrated learning of saliency, complex features, and object detectors from cluttered scenes

Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005

Volumn II, Issue , 2005, Pages 282-287

  Gao, Dashan ^a   Vasconcelos, Nuno ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTATIONAL COMPLEXITY; FEATURE EXTRACTION; OBJECT RECOGNITION; PROBABILITY; PROBLEM SOLVING;

BIOLOGICAL MOTIVATION; OBJECT DETECTION; PROBABILITY OF ERROR; SALIENCY DETECTION MODULE;

LEARNING SYSTEMS;

EID: 24644500354     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/cvpr.2005.189     Document Type: Conference Paper

References (13)

1. Y. Amit and D. Geman, "A computational model for visual selection," Neural Computation, Vol.11(7). pp. 1691-1715, 1999
2. S. Agarwal and D. Roth, "Learning a sparse representation for objection detection," In Proc. ECCV 2002, Vol. 4, pp. 113-130, 2002.
3. S. Ullman, M. Vidal-Naquet. and E. Sali, "Visual features of intermediate complexity and their use in classification," Nature Neuroscience, Vol.5, No.7, pp. 1-6, 2002.
4. E. Borenstein and S. Ullman "Learn to Segment," In Proc. ECCV, pp. 315-328, 2004
5. R. Fergus, P. Perona and A. Zisserman, "Object Class Recognition by Unsupervised Scale-Invariant Learning." In Proc. CVPR, Vol. 2, pp. 264-271, 2003.
6. C. Harris and M. Stephens. "A combined corner and edge detector." Alvey Vision Conference, 1988.
7. D.G. Lowe, "Object recognition from local scale-invariance features," Proc. ICCV, pp. 1150-1157, 1999.
8. T. Kadir and M.I Brady. "Scale, Salieney and Image Description." Int'l. J. of Comp. Vis., Vol.45, No.2, pp. 83-105, 2001
9. G. Dorko and C. Schmid "Selection of Scale-Invariant Parts for Object Class Recognition", Proc. ICCV, pp.634-640, 2003
10. A. Opelt, M. Fussenegger, A. Pinz and P. Auer, "Weak Hypotheses and Boosting for Generic Object Detection and Recognition", Proc. ECCV, pp. 71-84, 2004
11. D. Gao and N. Vasconcelos, "Discriminant Salieney for Visual Recognition from Cluttered Scenes." Proc. NIPS, 2004
12. N. Vasconcelos, ''Feature Selection by Maximum Marginal Diversity," Proc. NIPS. 2002
13. P. Viola and M. Jones. "Robust real-time object detection," Second International Workshop on Statistical and Computational Theories of Vision Modeling, Learning, Computing and Sampling, July 2001.