Deep Features for Person Re-identification

Proceedings - 2015 11th International Conference on Semantics, Knowledge and Grids, SKG 2015

Volumn , Issue , 2016, Pages 244-247

  Wang, Shuang ^a   Shang, Yanfeng ^a   Wang, Jian ^a   Mei, Lin ^a   Hu, Chuanping ^a  

^a INSTITUTE OF FORENSIC SCIENCE   (China)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS;

CLUTTERED BACKGROUNDS; CONVOLUTIONAL NEURAL NETWORK; ILLUMINATION VARIATION; PERSON RE IDENTIFICATIONS; STATE-OF-THE-ART METHODS;

SEMANTICS;

EID: 84978062558     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SKG.2015.19     Document Type: Conference Paper

References (32)

1. S. Gong, M. Cristani, S. Yan, and C. C. Loy. Person Re-identification. Springer London, 2014.
2. W. Li, R. Zhao, T. Xiao, and X. Wang. Deepreid: Deep filter pairing neural network for person re-identification. In CVPR, 152-159, 2014.
3. S. Pedagadi, J. Orwell, S. Velastin, and B. Boghossian. Local fisher discriminant analysis for pedestrian re-identification. In CVPR, 2013.
4. W.-S. Zheng, S. Gong, and T. Xiang. Person re-identification by probabilistic relative distance comparison. In CVPR, 2011.
5. Y. Zhang and S. Li. Gabor-lbp based region covariance descriptor for person re-identification. In Image and Graphics, 368-371, 2011.
6. K. Jungling, C. Bodensteiner, and M. Arens. Person re-identification in multi-camera networks. In CVPRW, 55-61, 2011.
7. X. Wang, G. Doretto, T. B. Sebastian, J. Rittscher, and P. H. Tu. Shape and appearance context modeling. In ICCV, 1-8, 2007.
8. D. Gray and H. Tao. Viewpoint invariant pedestrian recognition with an ensamble of localized features. In ECCV, 262-275, 2008.
9. W. Schwartz and L. Davis. Learning discriminative appearance-based models using partial least squares. In CGIP, 322-329, 2009.
10. B. Prosser, W. Zheng, S. Gong, T. Xiang, and Q. Mary. Person reidentification by support vector ranking. In BMVC, 2010.
11. M. Farenzena, L. Bazzani, A. Perina, V. Murino, and M. Cristani. Person re-identification by symmetry-driven accumulation of local features. In CVPR, 2360-2367, 2010.
12. B. Ma, Y. Su, and F. Jurie. Covariance descriptor based on bio-inspired features for person re-identification and face verification. In Image and Vision Computing, 32(6-7): 379-390, 2014.
13. B. Ma, Y. Su, and F. Jurie. Local descriptors encoded by fisher vectors for person re-identification. In ECCV, 413-422, 2012.
14. I. Kviatkovsky, A. Adam, and E. Rivlin. Color invariants for person reidentification. In PAMI, 35(7):1622-1634, 2013.
15. K. Q. Weinberger and L. K. Saul. Distance metric learning for large margin distance metric learning for large margin. In Advances in neural information processing systems, 2009.
16. J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon. Informationtheoretic metric learning. In Proceedings of the 24th international conference on Machine learning, 2007.
17. M. Guillaumin, J. Verbeek, and C. Schmid. Is that you Metric learning approaches for face identification. In ICCV, 2009.
18. F. Jurie and A. Mignon. Pcca: A new approach for distance learning from sparse pairwise constraints. In CVPR, 2012.
19. M. Kostinger, M. Hirzer, P. Wohlhart, P. Roth, and H. Bischof. Large scale metric learning from equivalence constraints. In CVPR, 2012.
20. O. Russakovsky, J. Deng, H. Su, et al. ImageNet Large Scale Visual Recognition Challenge. ArXiv:1409. 0575, 2014. http://image-net. org/ challenges/LSVRC/.
21. 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.
22. A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems, 1097-1105, 2012.
23. P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks. In International Conference on Learning Representations, 2014.
24. R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, 2014.
25. C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. CoRR, abs/1409. 4842, 2014.
26. J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell. Decaf: A deep convolutional activation feature for generic visual recognition. CoRR, abs/1310. 1531, 2013.
27. W. Li, R. Zhao, T. Xiao, and X. Wang. Deepreid: Deep filter pairing neural network for person re-identification. In CVPR, 2014.
28. D. Yi, Z. Lei, S. Z. Li. Deep Metric Learning for Practical Person Re-Identification. ArXiv:1407. 4979, 2014.
29. Y. Jia. Caffe: An open source convolutional architecture for fast feature embedding. http://caffe. berkeleyvision. org/, 2013.
30. P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object Detection with Discriminatively Trained Part-Based Models. In PAMI, 2010.
31. B. Mcfee and G. Lanckriet. Metric learning to rank. In Proceedings of the 27th International Conference on Machine Learning, 2010.
32. R. Zhao, W. Ouyang, and X. Wang. Unsupervised salience learning for person re-identification. In CVPR, 2013.