An efficient divide-and-conquer cascade for nonlinear object detection

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

Volumn , Issue , 2010, Pages 1022-1029

  Lampert, Christoph H ^a  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BRANCH AND BOUNDS; DATA SETS; DIVIDE AND CONQUER; LAST STAGE; NONLINEAR OBJECTS; OBJECT DETECTION; QUALITY FUNCTION;

COMPUTATIONAL METHODS; COMPUTER VISION; HIGHWAY ACCIDENTS; OBJECT RECOGNITION;

BRANCH AND BOUND METHOD;

EID: 77956009382     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5540107     Document Type: Conference Paper

References (23)

1. O. Chum and A. Zisserman. An exemplar model for learning object classes. In CVPR, 2007.
2. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
3. 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.
4. P. Felzenszwalb, R. Girshick, and D. McAllester. Cascade object detection with deformable part models. In CVPR, 2010.
5. P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. PAMI, 2009.
6. V. Ferrari, L. Fevrier, F. Jurie, and C. Schmid. Groups of adjacent contour segments for object detection. PAMI, 30(1), 2008.
7. K. Fukunaga and L. D. Hostetler. The estimation of the gradient of a density function with applications in pattern recognition. IEEE Trans. Information Theory, 21(1), 1975.
8. H. Harzallah, F. Jurie, and C. Schmid. Combining efficient object localization and image classification. In ICCV, 2009
9. C. H. Lampert. Detecting objects in large image collections and videos by efficient subimage retrieval. In ICCV, 2009.
10. C. H. Lampert, M. B. Blaschko, and T. Hofmann. Beyond sliding windows: Object localization by efficient subwindow search. In CVPR, 2008.
11. C. H. Lampert, M. B. Blaschko, and T. Hofmann. Efficient subwindow search: A branch and bound framework for object localization. PAMI, 2009.
12. S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, 2006.
13. S. Maji, A. C. Berg, and J. Malik. Classification using intersection kernel support vector machines is efficient. In CVPR, 2008.
14. E. Nowak, F. Jurie, and B. Triggs. Sampling strategies for bag-of-features image classification. In ECCV, 2006.
15. S. Romdhani, P. Torr, B. Schölkopf, and A. Blake. Computationally efficient face detection. In ICCV, 2001.
16. H. Schneiderman. Feature-centric evaluation for efficient cascaded object detection. In CVPR, 2004.
17. A. Torralba. Contextual priming for object detection. IJCV, 53(2), 2003.
18. K. E. A. Van De Sande, T. Gevers, and C. G. M. Snoek. Evaluation of color descriptors for object and scene recognition. In CVPR, 2008.
19. A. Vedaldi, V. Gulshan, M. Varma, and A. Zisserman. Multiple kernels for object detection. In ICCV, 2009.
20. P. Viola and M. J. Jones. Robust real-time face detection. IJCV, 57(2), 2004.
21. T. Yeh and T. Darrell. Fast concurrent object localization and recognition. In CVPR, 2009.
22. J. Yuan, Z. Liu, and Y. Wu. Discriminative subvolume search for efficient action detection. In CVPR, 2009.
23. Q. Zhu, S. Avidan, M. C. Yeh, and K. T. Cheng. Fast human detection using a cascade of histograms of oriented gradients. In CVPR, 2006.