Locality based discriminative measure for multiple-shot human re-identification

Neurocomputing

Volumn 167, Issue , 2015, Pages 280-289

  Li, Wei ^a   Wu, Yang ^b   Mukunoki, Masayuki ^c   Kuang, Yinghui ^a   Minoh, Michihiko ^d  

^a SOUTHEAST UNIVERSITY   (China)

^b NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

^c UNIVERSITY OF MIYAZAKI   (Japan)

^d KYOTO UNIVERSITY   (Japan)

Author keywords

Discriminative measure; Locality; Multiple shot human re identification; Set based matching

Indexed keywords

NEURAL NETWORKS;

CLASS SEPARATION; DISCRIMINABILITY; DISCRIMINATIVE MEASURE; LOCALITY; MATCHING MODELS; RE IDENTIFICATIONS; SET-BASED MATCHING; STATE OF THE ART;

BIOMETRICS;

ALGORITHM; ARTICLE; BI LEVEL RELATIVE INFORMATION ANALYSIS; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; INTERMETHOD COMPARISON; LOCALITY BASED DISCRIMINATIVE MEASURE; MATHEMATICAL COMPUTING; MEAN APPROACH DISTANCE; MEASUREMENT ACCURACY; MEASUREMENT PRECISION; PRIORITY JOURNAL; PROCESS DESIGN; QUALITY CONTROL; STATISTICAL MODEL;

EID: 84952628215     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.04.068     Document Type: Article

References (31)

1. Wright J., Yang A.Y., Ganesh A., Sastry S.S., Ma Y. Robust face recognition via sparse representation. IEEE Trans. Pattern Anal. Mach. Intell. 2009, 31(2):210-227. 10.1109/TPAMI.2008.79.
2. L. Zhang, M. Yang, X. Feng, Sparse representation or collaborative representation: Which helps face recognition? in: Proceedings of the 13th International Conference on Computer Vision, ICCV, IEEE Press, Barcelona, Spain, 2011, pp. 471-478,. doi:10.1109/ICCV.2011.6126277.
3. M. Farenzena, L. Bazzani, A. Perina, V. Murino, M. Cristani, Person re-identification by symmetry-driven accumulation of local features, in: Proceedings of the 23rd Conference on Computer Vision and Pattern Recognition, CVPR, IEEE Press, San Francisco, USA, 2010, pp. 2360-2367,. doi:10.1109/CVPR.2010.5539926.
4. B. Loris, C. Marco, P. Alessandro, F. Michela, M. Vittorio, Multiple-shot person re-identification by hpe signature, in: Proceedings of the 20th International Conference on Pattern Recognition, ICPR, IEEE Press, Istanbul, Turkey, 2010, pp. 1413-1416,. doi:10.1109/ICPR.2010.349.
5. B. Slawomir, C. Etienne, B. Francois, T. Monique, Multiple-shot human re-identification by mean riemannian covariance grid, in: Proceedings of the 8th Advanced Video and Signal-Based Surveillance, AVSS, IEEE Press, Klagenfurt, Austria, 2011, pp. 179-184,. doi:10.1109/AVSS.2011.6027316.
6. Y. Wu, M. Minoh, M. Mukunoki, S. Lao, Robust object recognition via third-party collaborative representation, in: Proceedings of the 21st International Conference on Pattern Recognition, ICPR, IEEE Press, Tsukuba, Japan, 2012, pp. 3423-3426.
7. Y. Xu, L. Lin, W.-S. Zheng, X. Liu, Human re-identification by matching compositional template with cluster sampling, in: Proceedings of the 14th International Conference on Computer Vision, ICCV, IEEE Press, 2013, pp. 3152-3159,. doi:10.1109/ICCV.2013.391.
8. W. Li, R. Zhao, T. Xiao, X. Wang, Deepreid: deep filter pairing neural network for person re-identification, in: Proceedings of the 27th Conference on Computer Vision and Pattern Recognition, CVPR, IEEE Press, Columbus, Ohio, USA, 2014, pp. 152-159,. doi:10.1109/CVPR.2014.27.
9. Y. Wu, M. Minoh, M. Mukunoki, W. Li, S. Lao, Collaborative sparse approximation for multiple-shot across-camera person re-identification, in: Proceedings of the 19th International Conference on Advanced Video and Signal-Based Surveillance, AVSS, IEEE Press, Beijing, China, 2012, pp. 209-214,. doi:10.1109/AVSS.2012.21.
10. Y. Wu, M. Minoh, M. Mukunoki, Collaboratively regularized nearest points for set based recognition, in: Proceedings of the 24th British Machine Vision Conference, BMVC, BMVA Press, Bristol, UK, 2013, pp. 134.1-134.10.
11. Y. Wu, M. Minoh, M. Mukunoki, S. Lao, Set based discriminative ranking for recognition, in: Proceedings of the 12th European Conference on Computer Vision, ECCV, vol. 7574, IEEE Press, Florence, Italy, 2012, pp. 497-510,. doi:10.1007/978-3-642-33712-3_36.
12. Li W., Wu Y., Mukunoki M., Minoh M. Bi-level relative information analysis for multiple-shot person re-identification. IEICE Trans. Inf. Syst. 2013, E96-D (11):2450-2461. 10.1587/transinf. E96.D.2450.
13. X. Liu, M. Song, D. Tao, X. Zhou, C. Chen, J. Bu, Semi-supervised coupled dictionary learning for person re-identification, in: Proceedings of the 27th Conference on Computer Vision and Pattern Recognition, CVPR, IEEE Press, Columbus, Ohio, USA, 2014, pp. 3550-3557,. doi:10.1109/CVPR.2014.454.
14. S. Pedagadi, J. Orwell, S. Velastin, B. Boghossian, Local fisher discriminant analysis for pedestrian re-identification, in: Proceedings of the 26th Conference on Computer Vision and Pattern Recognition, CVPR, IEEE Press, Portland, OR, USA, 2013, pp. 3318-3325,. doi:10.1109/CVPR.2013.426.
15. W. Li, Y. Wu, M. Mukunoki, M. Minoh, Locality based discriminative measure for multiple-shot person re-identification, in: Proceedings of 10th International Conference on Advanced Video and Signal Based Surveillance, AVSS, IEEE Press, Krakow, Poland, 2013, pp. 312-317,. doi:10.1109/AVSS.2013.6636658.
16. W. Li, Y. Wu, M. Mukunoki, M. Minoh, Riemannian set-level common-near-neighbor for person re-identification, in: Proceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA, IAPR, Kyoto, Japan, 2013, pp. 9-12.
17. H. Cevikalp, B. Triggs, Face recognition based on image sets, in: Proceedings of the 23rd Conference on Computer Vision and Pattern Recognition, CVPR, IEEE Press, San Francisco, USA, 2010, pp. 2567-2573,. doi:10.1109/CVPR.2010.5539965.
18. Zheng W.-S., Gong S., Xiang T. Re-identification by relative distance comparison. IEEE Trans. Pattern Anal. Mach. Intell. 2012, 35(3):653-668. 10.1109/TPAMI.2012.138.
19. Weinberger K.Q., Saul L.K. Distance metric learning for large margin nearest neighbor classification. J. Mach. Learn. Res. 2009, 10:207-244.
20. Li W., Wu Y., Mukunoki M., Minoh M. Coupled metric learning for single-shot vs. single-shot person re-identification. Opt. Eng. 2013, 52(2):027203-1-027203-10. 10.1117/1.OE.52.2.027203.
21. B. McFee, G. Lanckriet, Metric learning to rank, in: Proceedings of the 27th International Conference on Machine Learning, ICML, Omnipress, Haifa, Israel, 2010, pp. 775-782.
22. A. Mignon, F. Jurie, Pcca: a new approach for distance learning from sparse pairwise constraints, in: Proceedings of the 25th Conference on Computer Vision and Pattern Recognition, CVPR, IEEE Press, Providence, RI, USA, 2012, pp. 2666-2672,. doi:10.1109/CVPR.2012.6247987.
23. Ramanan D., Baker S. Local distance functions. a taxonomy, new algorithms, and an evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 2011, 33(4):794-806. 10.1109/TPAMI.2010.127.
24. Y. Wu, M. Mukunoki, T. Funatomi, M. Minoh, Optimizing mean reciprocal rank for person re-identification, in: 2nd International Workshop on Multimedia Systems for Surveillance, MMSS, IEEE Press, Klagenfurt, Austria, 2011, pp. 408-413,. doi:10.1109/AVSS.2011.6027363.
25. Bhatia R. Postive Definite Matrices 2007, Princeton University Press, Princeton, NJ, USA.
26. W. Li, Y. Wu, M. Mukunoki, M. Minoh, Common-near-neighbor analysis for person re-identification, in: Proceedings of the 19th International Conference on Image Processing, ICIP, IEEE Press, Florida, USA, 2012, pp. 1621-1624,. doi:10.1109/ICIP.2012.6467186.
27. 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, BMVC, BMVA Press, Scotland, UK, 2011, pp. 68.1-68.11,. doi:10.5244/C.25.68.
28. Lin L., Luo P., Chen X., Zeng K. Representing and recognizing objects with massive local image patches. Pattern Recognit. 2012, 45(1):231-240. 10.1016/j.patcog.2011.06.011.
29. Y. Hu, A.S. Mian, R. Owens, Sparse approximated nearest points for image set classification, in: Proceedings of the 24th Conference on Computer Vision and Pattern Recognition, CVPR, IEEE Press, Colorado Springs, USA, 2011, pp. 121-128,. doi:10.1109/CVPR.2011.5995500.
30. Yan S., Xu D., Zhang B., Zhang H.-J., Yang Q., Lin S. Graph embedding and extensions. a general framework for dimensionality reduction. IEEE Trans. Pattern Anal. Mach. Intell. 2007, 29(1):40-51. 10.1109/TPAMI.2007.250598.
31. F. Xiong, M. Gou, O. Camps, M. Sznaier, Person re-identification using kernel-based metric learning methods, in: Proceedings of the 13th European Conference on Computer Vision, ECCV, Springer, Zurich, Switzerland, 2014, pp. 1-16,. doi:10.1007/978-3-319-10584-0_1.