Face detection using SURF cascade

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 2183-2190

  Li, Jianguo ^a   Wang, Tao ^a   Zhang, Yimin ^a  

^a INTEL CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE TEST; FACE DETECTOR; HAAR FEATURES; LARGE-SCALE DATABASE; ON CURRENTS; PROCESSING SPEED; STATE-OF-THE-ART ALGORITHMS;

PERSONAL COMPUTERS;

FACE RECOGNITION;

EID: 84863058528     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2011.6130518     Document Type: Conference Paper

References (37)

1. H. Bay, A. Ess, T. Tuytelaars, and L. V. Gool. Surf: Speeded up robust features. Computer Vision and Image Understanding (CVIU), 110(3):346-359, 2008.
2. L. Bourdev and J. Brandt. Robust object detection via soft cascade. In CVPR, 2005.
3. S. C. Brubaker, J. Wu, J. Sun, M. D. Mullin, and J. Rehg. On the design of cascades of boosted ensembles for face detection. IJCV, 2008.
4. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
5. J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. Imagenet: A large-scale hierarchical image database. In CVPR, 2009.
6. T. Fawcett. Roc graphs: Notes and practical considerations for researchers. Machine Learning, 2004.
7. L. Fei-Fei, R. Fergus, and P. Perona. Learning generative visual models from few training examples: an incremental bayesian approach tested on 101 object categories. In CVPR workshop on Generative-Model Based Vision, 2004.
8. P. Felzenszwalb, D. McAllester, and D. Ramanan. A discriminatively trained, multiscale, deformable part model. In CVPR, 2008.
9. P. Felzenszwalb, R. Girshick, and D. McAllester. Cascade object detection with deformable part models. In CVPR, 2010.
10. P. F. Felzenszwalb and D. P. Huttenlocher. Pictorial structures for object recognition. IJCV, 61(1):55-79, 2005.
11. C. Huang, H. Ai, Y. Li, and S. Lao. Learning sparse features in granular space formulti-view face detection. In AFGR, 2006.
12. V. Jain and E. Learned-Miller. Fddb: A benchmark for face detection in unconstrained settings. Technical Report UMCS-2010-009, University of Massachusetts, Amherst, 2010.
13. N. Kumar, P. N. Belhumeur, and S. K. Nayar. Facetracer: A search engine for large collections of images with faces. In ECCV, 2008.
14. I. Laptev. Improvements of object detection using boosted histograms. In bMVC, 2005.
15. S. Li, Z. Zhang, and et al. Floatboost learning for classification. In NIPS, 2002.
16. R. Lienhart and J. Maydt. An extended set of haar-like features for rapid object detection. In ICIP, 2002.
17. P. Long and R. Servedio. Boosting the area under the roc curve. In NIPS, 2007.
18. S. Maji and A. C. Berg. Max-margin additive classifiers for detection. In ICCV, 2009.
19. B. McCane and K. Novins. On training cascade face detectors. Image and Vision Computing, 2003.
20. K. Mikolajczyk, C. Schmid, and A. Zisserman. Human detection based on a probabilistic assembly of robust part detectors. In ECCV, 2004.
21. T. Minka. A comparison of numerical optimizers for logistic regression. Technical report, Microsoft Research, 2004.
22. T. Mita, T. Kaneko, and O. Hori. Joint haar-like features for face detection. In ICCV, 2005.
23. M.-T. Pham and T.-J. Cham. Fast training and selection of haar features during statistics in boosting-based face detection. In ICCV, 2007.
24. M.-T. Pham, Y. Gao, V. D. Hoang, and T.-J. Cham. Fast polygonal integration and its application in extending haarlike features to improve object detection. In CVPR, 2010.
25. C. Shen, P. Wang, and H. Li. Lacboost and fisherboost: optimally building cascade classifiers. In ECCV, 2010.
26. J. Sochman and J. Matas. Waldboost-learning for time constrained sequential detection. In CVPR, 2005.
27. A. Sorokin and D. A. Forsyth. Utility data annotation with amazon mechanical turk. In First Internet Vision Workshop, 2008.
28. O. Tuzel, F. Porikli, and P. Meer. Region covariance: A fast descriptor for detection and classification. In ECCV, 2006.
29. http://mplab. ucsd. edu. The MPLab GENKI Database.
30. A. Vedaldi, V. Gulshan, M. Varma, and A. Zisserman. Multiple kernels for object detection. In ICCV, 2009.
31. S. M. Venkatesh Bala Subburaman. Fast bounding box estimation based face detection. In ECCV workshop on face detection, 2010.
32. P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In CVPR, 2001.
33. P. Viola and M. Jones. Robust real-time face detection. IJCV, 57(2):137-154, 2004.
34. J. Z. Wang, J. Li, and G. Wiederhold. Simplicity: Semanticssensitive integrated matching for picture libraries. IEEE TPAMI, 23(9):947-963, 2001.
35. R. Xiao, H. Zhu, H. Sun, and X. Tang. Dynamic cascades for face detection. In ICCV, 2007.
36. C. Zhang and Z. Zhang. A survey of recent advances in face detection. Technical Report MSR-TR-2010-66, Microsoft Research, 2010.
37. 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.