Similarity learning with top-heavy ranking loss for person re-identification

IEEE Signal Processing Letters

Volumn 23, Issue 1, 2016, Pages 84-88

  Wang, Jin ^a   Sang, Nong ^a   Wang, Zheng ^b   Gao, Changxin ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b WUHAN UNIVERSITY   (China)

Author keywords

Learning to rank; Person re identification; Structural learning

Indexed keywords

LEARNING SYSTEMS; LINEAR TRANSFORMATIONS;

FEATURE SPACE; LEARNING FRAMEWORKS; LEARNING TO RANK; METRIC LEARNING; NON-LINEAR TRANSFORMATIONS; PERSON RE IDENTIFICATIONS; SIMILARITY LEARNING; STRUCTURAL LEARNING;

MATHEMATICAL TRANSFORMATIONS;

EID: 84983249663     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2015.2502271     Document Type: Article

References (41)

1. Y. Xie, H. Yu, X. Gong, Z. Dong, and Y. Gao, "Learning visual-spatial saliency for multiple-shot person re-identification, " IEEE Signal Process. Lett., vol. 22, no. 11, pp. 1854-1858, Nov. 2015.
2. G. Lisanti, I. Masi, A. Bagdanov, and A. Del Bimbo, "Person re-identification by iterative re-weighted sparse ranking, " IEEE Trans. Patt. Anal. Mach. Intell., vol. 37, no. 8, pp. 1629-1642, Aug. 2015.
3. S. Liao, Y. Hu, X. Zhu, and S. Z. Li, "Person re-identification by local maximal occurrence representation and metric learning, " in CVPR, 2015, pp. 2197-2206.
4. R. Zhao, W. Ouyang, and X. Wang, "Learning mid-level filters for person re-identification, " in CVPR, 2014, pp. 144-151.
5. Z. Li, S. Chang, F. Liang, T. S. Huang, L. Cao, and J. R. Smith, "Learning locally-adaptive decision functions for person verification, " in CVPR, 2013, pp. 3610-3617.
6. W. Zheng, S. Gong, and T. Xiang, "Towards open-world person re-identification by one-shot group-based verification, " IEEE Trans. Patt. Anal. Mach. Intell., vol. PP, no. 99, pp. 1-1, 2015.
7. L. Ma, X. Yang, and D. Tao, "Person re-identification over camera networks using multi-task distance metric learning, " IEEE Trans. Image Process., vol. 23, no. 8, pp. 3656-3670, 2014.
8. X. Wang, W. Zheng, X. Li, and J. Zhang, "Cross-scenario transfer person re-identification, " IEEE Trans. Circuits Syst. Video Technol., vol. PP, no. 99, pp. 1-1, 2015.
9. Y. Yang, J. Yang, J. Yan, S. Liao, D. Yi, and S. Z. Li, "Salient color names for person re-identification, " in Computer Vision-ECCV, 2014, pp. 536-551.
10. B. Ma, Y. Su, and F. Jurie, "Covariance descriptor based on bio-inspired features for person re-identification and face verification, " Image Vis. Comput., vol. 32, no. 6, pp. 379-390, 2014.
11. R. Zhao, W. Ouyang, and X. Wang, "Person re-identification by salience matching, " in ICCV, 2013, pp. 2528-2535.
12. K. Q. Weinberger and L. K. Saul, "Distance metric learning for large margin nearest neighbor classification, " J. Mach. Learn. Res., vol. 10, pp. 207-244, 2009.
13. A. Mignon and F. Jurie, "Pcca: A new approach for distance learning from sparse pairwise constraints, " in CVPR, 2012, pp. 2666-2672.
14. M. Koestinger, M. Hirzer, P. Wohlhart, P. M. Roth, and H. Bischof, "Large scale metric learning from equivalence constraints, " in CVPR, 2012, pp. 2288-2295.
15. M. Hirzer, P. M. Roth, M. Köstinger, and H. Bischof, "Relaxed pairwise learned metric for person re-identification, " in Computer Vision-ECCV, 2012, pp. 780-793.
16. W.-S. Zheng, S. Gong, and T. Xiang, "Reidentification by relative distance comparison, " IEEE Trans. Patt. Anal. Mach. Intell., vol. 35, no. 3, pp. 653-668, 2013.
17. J. Chen, Z. Zhang, and Y. Wang, "Relevance metric learning for person re-identification by exploiting listwise similarities, " IEEE Trans. Image Process., vol. PP, no. 99, pp. 1-1, 2015.
18. X. Liu, H. Wang, Y. Wu, J. Yang, and M.-H. Yang, "An ensemble color model for human re-identification, " in WACV, 2015, pp. 868-875.
19. J. Hu, J. Lu, and Y.-P. Tan, "Discriminative deep metric learning for face verification in the wild, " in CVPR, 2014, pp. 1875-1882.
20. S. Pedagadi, J. Orwell, S. Velastin, and B. Boghossian, "Local fisher discriminant analysis for pedestrian re-identification, " in CVPR, 2013, pp. 3318-3325.
21. K. Liu, Z. Zhao, and A. Cai, "Datum-adaptive local metric learning for person re-identification, " IEEE Signal Process. Lett., vol. 22, no. 9, pp. 1457-1461, 2015.
22. F. Xiong, M. Gou, O. Camps, and M. Sznaier, "Person re-identification using kernel-based metric learning methods, " in Computer Vision- ECCV, 2014, pp. 1-16.
23. H. Liu, M. Qi, and J. Jiang, "Kernelized relaxed margin components analysis for person re-identification, " IEEE Signal Process. Lett., vol. 22, no. 7, pp. 910-914, Jul. 2015.
24. D. Tao, L. Jin, Z. Yang, and X. Li, "Rank preserving sparse learning for kinect based scene classification, " IEEE Trans. Cybernetics, vol. 43, no. 5, pp. 1406-1417, 2013.
25. D. Tao, J. Cheng, M. Song, and X. Lin, "Manifold ranking-based matrix factorization for saliency detection, " IEEE Trans. Neural Netw. Learn. Syst., vol. PP, no. 99, pp. 1-1, 2015.
26. I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun, "Large margin methods for structured and interdependent output variables, " J. Machine Learning Research 2005, pp. 1453-1484.
27. N. Usunier, D. Buffoni, and P. Gallinari, "Ranking with ordered weighted pairwise classification, " in Proc. 26th Annu. Int. Conf. Machine Learning, 2009, pp. 1057-1064.
28. Y. Yue, T. Finley, F. Radlinski, and T. Joachims, "A support vector method for optimizing average precision, " in Proc. 30th Annu. Int. ACM SIGIR Conf. Research and Development in Information Retrieval, 2007, pp. 271-278.
29. D. Gray, S. Brennan, and H. Tao, "Evaluating appearance models for recognition, reacquisition, and tracking, " IEEE Int. Workshop on Performance Evaluation for Tracking and Surveillance (PETS), vol. 3, no. 5, 2007.
30. W. Li and X. Wang, "Locally aligned feature transforms across views, " in CVPR, 2013, pp. 3594-3601.
31. P. M. Roth, M. Hirzer, M. Köstinger, C. Beleznai, and H. Bischof, "Mahalanobis distance learning for person re-identification, " in Person Re-Identification. Berlin, Germany: Springer, 2014, pp. 247-267.
32. J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon, "Informationtheoretic metric learning, " in Proc. 24th Int. Conf. Machine learning, 2007, pp. 209-216.
33. D. Tao, L. Jin, Y. Wang, Y. Yuan, and X. Li, "Person re-identification by regularized smoothing kiss metric learning, " IEEE Trans. Circuits Syst. Video Technol., vol. 23, no. 10, pp. 1675-1685, 2013.
34. D. Tao, L. Jin, Y. Wang, and X. Li, "Person reidentification by minimum classification error-based kiss metric learning, " IEEE Trans. Cybernetics, vol. 45, no. 2, pp. 242-252, 2015.
35. L. An, M. Kafai, S. Yang, and B. Bhanu, "Person re-identification with reference descriptor, " IEEE Trans. Circuits Syst. Video Technol., vol. PP, no. 99, pp. 1-1, 2015.
36. E. Ahmed, M. Jones, and T. K. Marks, "An improved deep learning architecture for person re-identification, " in CVPR, 2015, pp. 25-34.
37. R. F. de C. Prates and W. R. Schwartz, "Cbra: Color-based ranking aggregation for person re-identification, " in IEEE Int. Conf. IEEE Image Processing (ICIP), 2015, 2015, pp. 4141-4145.
38. A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks, " in Advanced Neural Information Processing Systems, 2012, pp. 1097-1105.
39. M. Farenzena, L. Bazzani, A. Perina, V. Murino, and M. Cristani, "Person re-identification by symmetry-driven accumulation of local features, " in CVPR, 2010, pp. 2360-2367.
40. P. M. Roth, M. Hirzer, M. Köstinger, C. Beleznai, and H. Bischof, "Mahalanobis distance learning for person re-identification, " in Person Re-Identification. Berlin, Germany: Springer, 2014, pp. 247-267.
41. M. Hirzer, P. M. Roth, and H. Bischof, "Person re-identification by efficient impostor-based metric learning, " in IEEE Ninth Int. Conf. Advanced Video and Signal-Based Surveillance (AVSS), 2012, 2012, pp. 203-208.