Person Re-identification based on nonlinear ranking with difference vectors

Information Sciences

Volumn 279, Issue , 2014, Pages 604-614

  Zhou, Tianfeng ^a   Qi, Meibin ^a,b   Jiang, Jianguo ^a,b   Wang, Xin ^a   Hao, Shijie ^a   Jin, Yulong ^a  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

NRDV; Person re identification; SVM; Video surveillance

Indexed keywords

BENCHMARKING; CLUSTERING ALGORITHMS; IMAGE CLASSIFICATION; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES;

AFFINITY PROPAGATION CLUSTERING; LOWER MEMORY REQUIREMENT; NON-OVERLAPPING CAMERA VIEWS; NRDV; PERSON RE IDENTIFICATIONS; STATE-OF-THE-ART PERFORMANCE; SVM; VIDEO SURVEILLANCE;

SECURITY SYSTEMS;

EID: 84901849438     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2014.04.014     Document Type: Article

References (34)

1. T. Avraham, I. Gurvich, M. Lindenbaum, and S. Markovitch Learning implicit transfer for person Re-identification ECCV Lect. Notes Comput. Sci. 7583 2012 381 390
2. C. Chang, C. Lin, LIBSVM: A Library for Support Vector Machines, 2001. < http://www.csie.ntu.edu.tw/cjlin/libsvm >.
3. D.S. Cheng, M. Cristani, M. Stoppa, L. Bazzani, V. Murino, Custom pictorial structures for re-identification, in: Proceedings of the British Machine Vision Conference, 2011.
4. M. Dikmen, E. Akbas, T.S. Huang, N. Ahuja, Pedestrian recognition with a learned metric, in: Proceedings of the Asian Conference on Computer Vision, 2010, pp. 501-512.
5. J.V. Davis, B. Kulis, P. Jain, et al., Information-theoretic metric learning, in: Proceedings of the 24th International Conference on Machine Learning, 2007, pp. 209-216.
6. A. Ess, B. Leibe, L.V. Gool, Depth and appearance for mobile scene analysis, in: IEEE International Conference on Computer Vision, 2007.
7. B.J. Frey, and D. Dueck Clustering by passing messages between data points Science 315 2007 972 976
8. M. Farenzena, L. Bazzani, A. Perina, V. Murino, M. Cristani, Person re-identification by symmetry-driven accumulation of local features, in: IEEE Conference on Computer Vision and Pattern Recognition, 2010, pp. 2360-2367.
9. D. Gray, S. Brennan, H. Tao, Evaluating appearance models for recognition, reacquisition, and tracking, in: Proceedings of the IEEE International Workshop on Performance Evaluation for Tracking and Surveillance (PETS), 2007.
10. D. Gray, and H. Tao Viewpoint invariant pedestrian recognition with an ensemble of localized features ECCV Lect. Notes in Comput. Sci. 5302 2008 262 275
11. Y. Guo, G. Wu, J. Jiang, and D. Shen Robust anatomical correspondence detection by hierarchical sparse graph matching IEEE Trans. Med. Imag. 32 2013 268 277
12. Y. Gao, M. Wang, R. Ji, Z. Zha, and J. Shen K-Partite graph reinforcement and its application in multimedia information retrieval Inf. Sci. 194 2012 224 239
13. H. He, and E. Garcia Learning from imbalanced data IEEE Trans. Knowl. Data Eng. 21 2009 1263 1284
14. M. Hirzer, C. Beleznai, P.M. Roth, and H. Bischof Person Re-Identification by Descriptive and Discriminative Classification 2011 Image Analysis, Springer Berlin Heidelberg pp. 91-102
15. M. Hirzer, P.M. Roth, H. Bischof, Person Re-identification by efficient impostor-based metric learning, in: IEEE Ninth International Conference Advanced Video and Signal-Based Surveillance (AVSS), 2012, pp. 203-208.
16. M. Hirzer, P.M. Roth, M. Kostinger, and H. Bischof Relaxed pairwise learned metric for person Re-identification ECCV Lect. Notes Comput. Vision 2012 780 793
17. O. Javed, K. Shafique, M. Shah, Appearance modeling for tracking in multiple non-overlapping cameras, in: IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, 2005, pp. 26-33.
18. C.H. Kuo, C. Huang, and R. Nevatia Inter-camera association of multi-target tracks by on-line learned appearance affinity models ECCV Lect. Notes Comput. Sci. 6311 2010 383 396
19. M. Kostinger, M. Hirzer, P. Wohlhart, P.M. Roth, H. Bischof, Large scale metric learning from equivalence constraints, in: IEEE Conference on Computer Vision and Pattern Recognition, 2012, pp. 2288-2295.
20. M. Kubat, S. Matwin, Addressing the curse of imbalanced training sets: one-sided selection, ICML, 1997.
21. C. Liu, S. Gong, C.C. Loy, and X. Lin Person Re-identification: what features are important? ECCV Lect. Notes Comput. Sci. 7583 2012 391 401
22. H. Luan, Y.T. Zheng, M. Wang, and T.-S. Chua VisionGo: towards video retrieval with joint exploration of human and computer Inf. Sci. 181 19 2011 4197 4213
23. J. Li, W. Huang, L. Shao, N. Allinson, Building recognition in urban environments: a survey of state-of-the-art and future challenges, Inf. Sci. 277 (2014) 406-420.
24. B. Prosser, S. Gong, T. Xiang, Multi-camera matching using bi-directional cumulative brightness transfer functions, in: Proceedings of the British Machine Vision Conference, 2008.
25. B. Prosser, W.-S. Zheng, S. Gong, T. Xiang, Person Re-identification by support vector ranking, in: Proceedings of the British Machine Vision Conference, 2010.
26. W. Schwartz, L. Davis, Learning discriminative appearance-based models using partial least quares, in: Brazilian Symposium on Computer Graphics and Image Processing, 2009, pp. 322-329.
27. M. Wang, Y. Gao, K. Lu, and Y. Rui View-based discriminative probabilistic modeling for 3D object retrieval and recognition IEEE Trans. Image Process. 22 2013 1395 1407
28. M. Wang, X.-S. Hua, J. Tang, and R. Hong Beyond distance measurement: constructing neighborhood similarity for video annotation IEEE Trans. Multimedia 11 2009 465 476
29. M. Wang, H. Li, D. Tao, K. Lu, and X. Wu Multimodal graph-based reranking for web image search IEEE Trans. Image Process. 21 2012 4649 4661
30. M. Wang, B. Ni, X.-S. Hua, and T.-S. Chua Assistive tagging: a survey of multimedia tagging with human-computer joint exploration ACM Comput. Surv. 44 4 2012 (Article 25)
31. M. Wang, K. Yang, X.-S. Hua, and H.-J. Zhang Towards a relevant and diverse search of social images IEEE Trans. Multimedia 12 2010 829 842
32. X. Wang, G. Doretto, T. Sebastian, J. Rittscher, P. Tu, Shape and appearance context modeling, in: IEEE International Conference on Computer Vision, 2007.
33. S. Yi, H. Ryu, J. Son, Y.D. Chung, View field nearest neighbor: a novel type of spatial queries, Inf. Sci. 275 (2014) 68-82.
34. W.-S. Zheng, S. Gong, and T. Xiang Re-identification by relative distance comparison IEEE Trans. Pattern Anal. Mach. Intell. 35 2013 653 668