Deep metric learning for person re-identification

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2014, Pages 34-39

  Yi, Dong ^a   Lei, Zhen ^a   Liao, Shengcai ^a   Li, Stan Z ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTIONAL NEURAL NETWORKS; DEEP NEURAL NETWORKS; LEARNING SYSTEMS; PATTERN RECOGNITION; TEXTURES;

COLOR FEATURES; IMAGE PIXELS; METRIC LEARNING; PERSON RE IDENTIFICATIONS; SIMILARITY METRICS; SYMMETRY STRUCTURES; TEXTURE FEATURES; UNIFIED FRAMEWORK;

DEEP LEARNING;

EID: 84919930491     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2014.16     Document Type: Conference Paper

References (25)

1. M. Kostinger, M. Hirzer, P. Wohlhart, P. Roth, and H. Bischof, "Large scale metric learning from equivalence constraints," in Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2012, pp. 2288-2295.
2. W.-S. Zheng, S. Gong, and T. Xiang, "Reidentification by relative distance comparison," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 35, no. 3, pp. 653-668, 2013.
3. J. Bromley, I. Guyon, Y. LeCun, E. Säckinger, and R. Shah, "Signature verification using a siamese time delay neural network," in NIPS, 1993, pp. 737-744.
4. D. Gray, S. Brennan, and H. Tao, "Evaluating appearance models for recognition, reacquisition, and tracking," in In IEEE International Workshop on Performance Evaluation for Tracking and Surveillance, Rio de Janeiro, 2007.
5. W. Li and X. Wang, "Locally aligned feature transforms across views," in Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013, pp. 3594-3601.
6. A. J. Ma, P. C. Yuen, and J. Li, "Domain transfer support vector ranking for person re-identification without target camera label information," in Proceedings of IEEE International Conference on Computer Vision, 2013, pp. 3567-3574.
7. O. Javed, K. Shafique, and M. Shah, "Appearance modeling for tracking in multiple non-overlapping cameras," in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, vol. 2, 2005, pp. 26-33 vol. 2.
8. M. Farenzena, L. Bazzani, A. Perina, V. Murino, and M. Cristani, "Person re-identification by symmetry-driven accumulation of local features," in Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, 2010, pp. 2360-2367.
9. R. Zhao, W. Ouyang, and X. Wang, "Unsupervised salience learning for person re-identification," in Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013, pp. 3586-3593.
10. I. Kviatkovsky, A. Adam, and E. Rivlin, "Color invariants for person reidentification," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 35, no. 7, pp. 1622-1634, 2013.
11. R. Zhao, W. Ouyang, and X. Wang, "Person re-identification by salience matching," in Proceedings of IEEE International Conference on Computer Vision, 2013, pp. 2528-2535.
12. D. Gray and H. Tao, "Viewpoint invariant pedestrian recognition with an ensemble of localized features," in Computer Vision C ECCV 2008, ser. Lecture Notes in Computer Science, D. Forsyth, P. Torr, and A. Zisserman, Eds. Springer Berlin Heidelberg, 2008, vol. 5302, pp. 262-275.
13. B. Prosser, W.-S. Zheng, S. Gong, and T. Xiang, "Person reidentification by support vector ranking," in BMVC, 2010, pp. 1-11.
14. P. Baldi and Y. Chauvin, "Neural networks for fingerprint recognition," Neural Computation, vol. 5, no. 3, pp. 402-418, 1993.
15. S. Chopra, R. Hadsell, and Y. LeCun, "Learning a similarity metric discriminatively, with application to face verification," in CVPR (1), 2005, pp. 539-546.
16. H. Nguyen and L. Bai, "Cosine similarity metric learning for face verification," in Computer Vision C ACCV 2010, ser. Lecture Notes in Computer Science, R. Kimmel, R. Klette, and A. Sugimoto, Eds. Springer Berlin Heidelberg, 2011, vol. 6493, pp. 709-720.
17. A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks," in NIPS, 2012, pp. 1106-1114.
18. Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition," Proceedings of the IEEE, vol. 86, no. 11, pp. 2278-2324, 1998.
19. J. Friedman, R. Tibshirani, and T. Hastie, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, ser. Springer Series in Statistics. New York: Springer-Verlag, 2009.
20. W.-S. Zheng, S. Gong, and T. Xiang, "Person re-identification by probabilistic relative distance comparison," in Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, 2011, pp. 649-656.
21. W. R. Schwartz and L. S. Davis, "Learning discriminative appearancebased models using partial least squares," in Proceedings of the XXII Brazilian Symposium on Computer Graphics and Image Processing, 2009.
22. D. S. Cheng, M. Cristani, M. Stoppa, L. Bazzani, and V. Murino, "Custom pictorial structures for re-identification," in British Machine Vision Conference (BMVC), 2011, p. 68.1C68.11.
23. A. Mignon and F. Jurie, "Pcca: A new approach for distance learning from sparse pairwise constraints," in Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2012, pp. 2666-2672.
24. M. Hirzer, P. Roth, M. Köstinger, and H. Bischof, "Relaxed pairwise learned metric for person re-identification," in Computer Vision C ECCV 2012, ser. Lecture Notes in Computer Science, A. Fitzgibbon, S. Lazebnik, P. Perona, Y. Sato, and C. Schmid, Eds. Springer Berlin Heidelberg, 2012, vol. 7577, pp. 780-793.
25. M. Hirzer, C. Beleznai, P. Roth, and H. Bischof, "Person reidentification by descriptive and discriminative classification," in Image Analysis, ser. Lecture Notes in Computer Science, A. Heyden and F. Kahl, Eds. Springer Berlin Heidelberg, 2011, vol. 6688, pp. 91-102.