Implicit shape kernel for discriminative learning of the hough transform detector

British Machine Vision Conference, BMVC 2010 - Proceedings

Volumn , Issue , 2010, Pages

  Zhang, Yimeng ^a   Chen, Tsuhan ^a  

^a School of Electronic and Computer Enginerring Cornell University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; FEATURE EXTRACTION;

DETECTION PERFORMANCE; DISCRIMINATIVE LEARNING; DISCRIMINATIVE WEIGHT; KERNEL METHODS; LOCAL FEATURE; MAXIMUM MARGIN; STANDARD HOUGH TRANSFORMS; SVM CLASSIFIERS;

HOUGH TRANSFORMS;

EID: 84898427670     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.24.105     Document Type: Conference Paper

References (26)

1. Shivani Agarwal, Aatif Awan, and Dan Roth. Learning to detect objects in images via a sparse, part-based representation. IEEE Transaction on Pattern Analysis and Machine Intelligence, 26:1475-1490, 2004.
2. Mykhaylo Andriluka, Stefan Roth, and Bernt Schiele. People-tracking-by- detection and people-detection-by-tracking. In CVPR, 2008.
3. Matthew B. Blaschko and Christoph H. Lampert. Learning to localize objects with structured output regression. In ECCV, 2008.
4. Ondrej Chum and Andrew Zisserman. An exemplar model for learning object classes. In CVPR, 2007.
5. Dorin Comaniciu, Peter Meer, and Senior Member. Mean shift: A robust approach toward feature space analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24:603-619, 2002.
6. Navneet Dalal and Bill Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
7. Chaitanya Desai, Deva Ramanan, and Charless Fowlkes. Discriminative models for multi-class object layout. In ICCV, 2009.
8. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results. http://www.pascal-network.org/challenges/VOC/voc2007/workshop/index.html,.
9. M. Everingham, A. Zisserman, C. K. I. Williams, and L. Van Gool. The PASCAL Visual Object Classes Challenge 2006 (VOC2006) Results. http://www.pascal-network.org/challenges/VOC/voc2006/results.pdf,.
10. Pedro Felzenszwalb, David McAllester, and Deva Ramanan. A discriminatively trained, multiscale, deformable part model. In CVPR, 2008.
11. Vittorio Ferrari, Loic Fevrier, Frederic Jurie, and Cordelia Schmid. Groups of adjacent contour segments for object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(1):36-51, 2008.
12. Mario Fritz, Bastian Leibe, Barbara Caputo, and Bernt Schiele. Integrating representative and discriminant models for object category detection. In ICCV, 2005.
13. Juergen Gall and Victor Lempitsky. Class-specific hough forests for object detection. In CVPR, 2009.
14. Chunhui Gu, Joseph J. Lim, Pablo Arbelaez, and Jitendra Malik. Recognition using regions. In CVPR, 2009.
15. Hedi Harzallah, Frederic Jurie, and Cordelia Schmid. Combining efficient object localization and image classification. In ICCV, 2009.
16. Christoph H. Lampert, Matthew B. Blaschko, and Thomas Hofmann. Beyond sliding windows: Object localization by efficient subwindow search. In CVPR, 2008.
17. Alain Lehmann, Bastian Leibe, and Luc van Gool. Feature-centric efficient subwindow search. In ICCV, 2009.
18. Alain Lehmann, Bastian Leibe, and Luc van Gool. Prism: Principled implicit shape model. In BMVC, 2009.
19. Bastian Leibe, Aleš Leonardis, and Bernt Schiele. Robust object detection with interleaved categorization and segmentation. International Journal of Computer Vision, 77 (1-3):259-289, 2008.
20. David G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60:91-110, 2004.
21. Siwei Lyu. Mercer kernels for object recognition with local features. In CVPR, 2005.
22. Subhransu Maji and Jitendra Malik. Object detection using a max-margin hough transform. In CVPR, 2009.
23. Krystian Mikolajczyk and Cordelia Schmid. A performance evaluation of local descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(10): 1615-1630, 2005.
24. Jim Mutch and David G. Lowe. Multiclass object recognition with sparse, localized features. In CVPR, 2006.
25. Ryuzo Okada. Discriminative generalized hough transform for object detection. In ICCV, 2009.
26. Cheng Soon Ong, Stephane Canu, and Alexander J. Smola. Learning with non-positive kernels. In ICML, 2004.