Weight-based sparse coding for multi-shot person re-identification

Science China Information Sciences

Volumn 58, Issue 10, 2015, Pages 1-15

  Zheng, Yan Wei ^a   Sheng, Hao ^a   Zhang, Bei Chen ^a   Zhang, Jun ^b   Xiong, Zhang ^a  

^a BEIHANG UNIVERSITY   (China)

^b University of Wisconsin Milwaukee   (United States)

Author keywords

multi shot; person re identification; smart city; video surveillance; weight based sparse coding

Indexed keywords

IMAGE CODING; IMAGE MATCHING; ITERATIVE METHODS; OPTIMIZATION; SECURITY SYSTEMS; SIGNAL ENCODING;

MULTI-SHOT; PERSON RE IDENTIFICATIONS; SMART CITIES; SPARSE CODING; VIDEO SURVEILLANCE;

CODES (SYMBOLS);

EID: 84946497328     PISSN: 1674733X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11432-015-5404-9     Document Type: Article

References (45)

1. Theodoridis E, Mylonas G, Chatzigiannakis I. Developing an iot smart city framework. In: Proceedings of the 4th International Conference on Information, Intelligence, Systems and Applications, Piraeus-Athens, 2013. 1–6
2. Xiong Z, Luo W, Chen L, et al. Data vitalization: a new paradigm for large-scale dataset analysis. In: Proceedings of the 16th IEEE International Conference on Parallel and Distributed Systems, Shanghai, 2010. 251–258
3. Xiong Z, Zheng Y W, Li C. Data vitalization’s perspective towards smart city: a reference model for data service oriented architecture. In: Proceedings of the 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Chicago, 2014. 865–874
4. Filipponi L, Vitaletti A, Landi G, et al. Smart city: an event driven architecture for monitoring public spaces with heterogeneous sensors. In: Proceedings of the 4th International Conference on Sensor Technologies and Applications, Venice, 2010. 281–286
5. Farenzena M, Bazzani L, Perina A, et al. Person re-identification by symmetry-driven accumulation of local features. In: Proceedings of the 23rd IEEE International Conference on Computer Vision and Pattern Recognition, San Francisco, 2010. 2360–2367
6. Gheissari N, Sebastian T B, Hartley R. Person reidentification using spatiotemporal appearance. In: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, New York, 2006. 1528–1535
7. Gong S, Cristani M, Loy C C, et al. The re-identification challenge. In: Gong S, Cristani M, Yan S, et al., eds. Person Re-Identification. London: Springer, 2014. 1–20
8. Wang X, Zhao R. Person re-identification: system design and evaluation overview. In: Gong S, Cristani M, Yan S, et al., eds. Person Re-Identification. London: Springer, 2014. 351–370
9. Tang H, Huang T S. 3D facial expression recognition based on automatically selected features. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Anchorage, 2008. 1–8
10. Li W, Zhao R, Xiao T, et al. Deepreid: deep filter pairing neural network for person re-identification. In: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, Columbus, 2014. 152–159
11. Ding S, Lin L, Wang G, et al. Deep feature learning with relative distance comparison for person re-identification. Patt Recog, 2015, 48: 2993–3003
12. Harandi M T, Sanderson C, Hartley R. Sparse coding and dictionary learning for symmetric positive definite matrices: a kernel approach. In: Proceedings of the 12th European Conference on Computer Vision, Florence, 2012. 216–229
13. Bazzani L, Cristani M, Murino V. SDALF: modeling human appearance with symmetry-driven accumulation of local features. In: Gong S, Cristani M, Yan S, et al., eds. Person Re-Identification. London: Springer, 2014. 43–69
14. Ma B, Su Y, Jurie F. Bicov: a novel image representation for person re-identification and face verification. In: Proceedings of the 23rd British Machine Vision Conference, Surrey, 2012. 1–11
15. Ma B, Su Y, Jurie F. Covariance descriptor based on bio-inspired features for person re-identification and face verification. Image Vis Comput, 2014, 32: 379–390
16. Layne R, Hospedales T M, Gong S, et al. Person re-identification by attributes. In: Proceedings of the 23rd British Machine Vision Conference, Surrey, 2012. 1–11
17. Layne R, Hospedales T M, Gong S. Towards person identification and re-identification with attributes. In: Proceedings of the 23rd European Conference on Computer Vision, Surrey, 2012. 402–412
18. Zhao R, Ouyang W, Wang X. Learning mid-level filters for person re-identification. In: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, Columbus, 2014. 144–151
19. Li A, Liu L, Wang K, et al. Clothing attributes assisted person re-identification. IEEE Trans Circ Syst Video Technol, 2014, 25: 869–878
20. Satta R, Pala F, Fumera G, et al. Real-time appearance-based person re-identification over multiple KinectTM cameras. In: Proceedings of the 8th International Conference on Computer Vision Theory and Applications, Barcelona, 2013. 407–410
21. Zheng W S, Gong S, Xiang T. Associating groups of people. In: Proceedings of the 20th British Machine Vision Conference, London, 2009. 1–11
22. Liu C, Gong S, Loy C C. On-the-fly feature importance mining for person re-identification. Patt Recog, 2014, 47: 1602–1615
23. Avraham T, Gurvich I, Lindenbaum M, et al. Learning implicit transfer for person re-identification. In: Proceedings of the 23rd European Conference on Computer Vision, Surrey, 2012. 381–390
24. Roth P M, Hirzer M, Kostinger M, et al. Mahalanobis distance learning for person re-identification. In: Gong S, Cristani M, Yan S, et al., eds. Person Re-Identification. London: Springer, 2014. 247–267
25. Bak S, Corvee E, Bremond F, et al. Multiple-shot human re-identification by mean riemannian covariance grid. In: Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, Klagenfurt, 2011. 179–184
26. Bazzani L, Cristani M, Perina A, et al. Multiple-shot person re-identification by HPE signature. In: Proceedings of the 20th International Conference on Pattern Recognition, Istanbul, 2010. 1413–1416
27. Bazzani L, Cristani M, Perina A, et al. Multiple-shot person re-identification by chromatic and epitomic analyses. Patt Recog Lett, 2012, 33: 898–903
28. Hirzer M, Roth P M, Kostinger M, et al. Relaxed pairwise learned metric for person re-identification. In: Proceedings of the 23rd European Conference on Computer Vision, Surrey, 2012. 780–793
29. Hirzer M, Roth P M, Bischof H. Person re-identification by efficient impostor-based metric learning. In: Proceedings of the 9th International Conference on Advanced Video and Signal-Based Surveillance, Beijing, 2012. 203–208
30. Schwartz WR, Davis L S. Learning discriminative appearance-based models using partial least squares. In: Proceeding of the XXII Brazilian Symposium on Computer Graphics and Image Processing, Brazil, 2009. 322–329
31. Bak S, Charpiat G, Corvee E, et al. Learning to match appearances by correlations in a covariance metric space. In: Proceedings of the 23rd European Conference on Computer Vision, Surrey, 2012. 806–820
32. Zhao R, Ouyang W, Wang X. Unsupervised salience learning for person re-identification. In: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, Portland, 2013. 3586–3593
33. Felzenszwalb P F, Huttenlocher D P. Pictorial structures for object recognition. Int J Comput Vis, 2005, 61: 55–79
34. Cheng D S, Cristani M, Stoppa M, et al. Custom pictorial structures for re-identification. In: Proceedings of the 22nd British Machine Vision Conference, Dundee, 2011. 1–11
35. Cao X, Zhang H, Guo X, et al. SLED: semantic label embedding dictionary representation for multi-label image annotation. IEEE Trans Image Process, 2015, 24: 2746–2759
36. Meng D Y, Zhao Q, Xu Z B. Improve robustness of sparse PCA based on L1-norm maximization. Patt Recog, 2012, 45: 487–497
37. Zhao Q, Meng D Y, Xu Z B. Robust sparse principal component analysis. Sci China Inf Sci, 2014, 57: 092115
38. Li Y L, Meng L, Feng J F, et al. Downsampling sparse representation and discriminant information aided occluded face recognition. Sci China Inf Sci, 2014, 57: 032112
39. Zhou C, Zhang C, Li X, et al. Video face clustering via constrained sparse representation. In: Proceedings of the IEEE International Conference on Multimedia and Expo, Chengdu, 2014. 1–6
40. Tibshirani R. Regression shrinkage and selection via the lasso. J Roy Stat Soc Ser B-Stat Method, 1996, 58: 267–288
41. Zhang C, Han Y, Guo X, et al. Output feature augmented lasso. In: Proceedings of the IEEE International Conference on Data Mining, Shenzhen, 2014. 680–686
42. Cheng D S, Cristani M, Stoppa M, et al. Custom pictorial structures for re-identification. In: Proceedings of the 22nd British Machine Vision Conference, Dundee, 2011. 1–11
43. Ess A, Leibe B, Van Gool L. Depth and appearance for mobile scene analysis. In: Proceedings of the 11th IEEE International Conference on Computer Vision, Brazil, 2007. 1–8
44. Wang T, Gong S, Zhu X, et al. Person re-identification by video ranking. In: Proceedings of the 13th European Conference on Computer Vision, Zurich, 2014. 688–703
45. Bak S, Corvee E, Brmond F, et al. Person re-identification using spatial covariance regions of human body parts. In: Proceedings of the 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, Boston, 2010. 435–440