Human detection in images via L1-norm minimization learning

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2010, Pages 3566-3569

  Xu, Ran ^a   Zhang, Baochang ^b   Ye, Qixiang ^a   Jiao, Jianbin ^a  

^a UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^b BEIHANG UNIVERSITY   (China)

Author keywords

Feature selection; Human detection; L1 norm; Sparse representation

Indexed keywords

COMPUTER VISION; IMAGE REPRESENTATION;

COMPRESSED-SENSING; DETECTION SYSTEM; FEATURES SELECTION; HUMAN DETECTION; L1 NORM; L1-NORM MINIMIZATIONS; LEARNING METHODS; RESEARCH COMMUNITIES; SPARSE REPRESENTATION; VISION RESEARCH;

FEATURE SELECTION;

EID: 78049392186     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5495930     Document Type: Conference Paper

References (16)

1. Gavrila, D.M. and Giebel, J. "Shape-based pedestrian detection and tracking," IEEE Intelligent Vehicle Symposium, vol.1, pp.8-14, 2002.
2. Dalal, N, Triggs, B., "Histograms of Oriented Gradients for Human Detection," IEEE CVPR, vol.1, pp.886-893, 2005.
3. Serre, T., Wolf L., Bileschi S., Riesenhuber M. and Poggio T.., "Object Recognition with Cortex-like Mechanisms," IEEE Transactions on PAMI, vol.29(3), pp.411-426, 2007.
4. Tuzel O., Porikli F., Meer P., "Pedestrian detection via Classification on Riemannian manifolds," IEEE Transactions on PAMI, vol. 30(10), pp.1713-1727, 2008.
5. Mu Y. Yan S. Liu Y., Huang T., Zhou B., "Discriminative Local Binary Patterns for Human Detection in Personal Album," IEEE CVPR, issue 23-28, pp.1-8, 2008
6. P.F. Felzenszwalb and D.P. Huttenlocher. "Pictorial structures for object recognition," IJCV, vol. 61(1), pp.55-79, 2005.
7. S. Ioffe and D.A. Forsyth. "Probabilistic methods for finding people," IJCV,vol. 43(1), pp.45-68, 2001.
8. B. Leibe, E. Seemann, and B. Schiele. "Pedestrian detection in crowded scenes," IEEE CVPR, vol. 1, pp.878-885, 2005.
9. D. Vinay, J. Neumann, V. Ramesh, and L.S. Davis, "Bilattice-based logical reasoning for human detection," IEEE CVPR , 2007.
10. A. Mohan, C. Papageorgiou, and T. Poggio, "Example-based object detection in images by components," IEEE Transactions on PAMI, vol.23(4) pp.349-360, 2001
11. P.Viola and M. Jones, "Rapid object detection using a boosted cascade of simple features," IEEE CVPR, 2001.
12. Sabzmeydani P. and Mori G., "Detecting Pedestrians by Learning Shapelet Features," IEEE CVPR, 2007.
13. K Huang, SAviyente, "Sparse representation for signal classification," Advances in Neural Information Processing Systems, Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems, 2007
14. A.T. Mario, D. Nowak, J.Wright, "Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems," IEEE Selected Topics in Signal Processing, vol.1(4),pp.586-597, 2007
15. A. Y. Yang, J. Wright, Y. Ma, and S. S. Sastry, "Robust Face Recognition via Sparse Representation," IEEE Transactions on PAMI, vol.31(2), 2009.
16. http://coe.gucas.ac.cn/SDL-Homepage/resource.html