Subcategory clustering with latent feature alignment and filtering for object detection

IEEE Signal Processing Letters

Volumn 22, Issue 2, 2015, Pages 244-248

  Ruan, Zhiwei ^a   Wang, Guijin ^a   Xue, Jing Hao ^b   Lin, Xinggang ^a  

^a TSINGHUA UNIVERSITY   (China)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Latent SVM; multi component models; object detection; subcategory clustering

Indexed keywords

FEATURE ALIGNMENT; LATENT-SVM; MULTICOMPONENT MODEL; OBJECT DETECTION; SUBCATEGORY CLUSTERING;

EID: 84907545992     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2014.2349940     Document Type: Article

References (18)

1. X. Zhu, C. Vondrick,D.Ramanan, and C. Fowlkes, "Dowe needmore training data or better models for object detection?," in BMVC 2012, 2012, pp. 1-11.
2. S. K. Divvala, A. A. Efros, and M. Hebert, "How important are deformable parts in the deformable parts model?," in ECCV 2012, 2012, pp. 31-40.
3. C. Gu and X. Ren, "Discriminative mixture-of-templates for viewpoint classification," in ECCV 2010, 2010, pp. 408-421.
4. L. Bourdev, S. Maji, T. Brox, and J. Malik, "Detecting people using mutually consistent poselet activations," in ECCV 2010, 2010, pp. 168-181.
5. C. Gu, P. Arbeláez, Y. Lin, K. Yu, and J. Malik, "Multi-component models for object detection," in ECCV 2012, 2012, pp. 445-458.
6. T. Lan, M. Raptis, L. Sigal, andG.Mori, "Fromsubcategories to visual composites: A multi-level framework for object detection," in ICCV 2013, 2013, pp. 369-376.
7. D. Park, D. Ramanan, and C. Fowlkes, "Multiresolution models for object detection," in ECCV 2010, 2010, pp. 241-254.
8. T. Malisiewicz, A. Gupta, and A. A. Efros, "Ensemble of exemplarsvms for object detection and beyond," in ICCV 2011, 2011, pp. 89-96.
9. M. Hoai and A. Zisserman, "Discriminative sub-categorization," in CVPR 2013, 2013, pp. 1666-1673.
10. P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan, "Object detection with discriminatively trained part-based models," IEEE Trans. Patt. Anal. Mach. Intell., vol. 32, no. 9, pp. 1627-1645, 2010.
11. G.-T. Zhou, T. Lan, A. Vahdat, and G. Mori, "Latent maximum margin clustering," Adv. Neural Inf. Process. Syst., pp. 28-36, 2013.
12. B. Zeng, G. Wang, X. Lin, and C. Liu, "A real-time human detection system for video," IEICE Trans. Inf. Syst., vol. 95-D, no. 7, pp. 1979-1988, 2012.
13. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in CVPR 2005, 2005, pp. 886-893.
14. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman, "The PASCAL visual object classes challenge 2007(VOC2007) results," [Online]. Available: http://www.pascal-network. org/challenges/VOC/voc2007/workshop/index.html
15. Z. Ruan, G.Wang, J.-H. Xue, X. Lin, and Y. Jiang, "Detection of userregistered dog faces," Neurocomputing, vol. 142, pp. 256-266, 2014.
16. M. Meil, "Comparing clusterings-an information based distance," J. Multivar. Anal., vol. 98, no. 5, pp. 873-895, 2007.
17. P. F. Felzenszwalb, R. B. Girshick, and D. McAllester, "Discriminatively trained deformable part models, release 4," [Online]. Available: http://people.cs.uchicago.edu/pff/latent-release4/
18. R. B. Girshick, P. F. Felzenszwalb, and D. McAllester, "Discriminatively trained deformable part models, release 5," [Online]. Available: http://people.cs.uchicago.edu/rbg/latent-release5/