Hierarchical Gaussian Descriptor for Person Re-identification

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2016-December, Issue , 2016, Pages 1363-1372

  Matsukawa, Tetsu ^a   Okabe, Takahiro ^b   Suzuki, Einoshin ^a   Sato, Yoichi ^c  

^a KYUSHU UNIVERSITY   (Japan)

^b KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

^c UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; FACE RECOGNITION; PATTERN RECOGNITION; PIXELS;

COVARIANCE DESCRIPTOR; COVARIANCE INFORMATION; DESCRIPTORS; HIERARCHICAL DISTRIBUTION; LOCAL REGION; PERSON RE IDENTIFICATIONS; STATE OF THE ART; TEXTURAL INFORMATION;

GAUSSIAN DISTRIBUTION;

EID: 84986331442     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.152     Document Type: Conference Paper

References (48)

1. E. Ahmed, M. Jones, and T. K. Marks. An improved deep learning architecture for person re-identification. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 3908-3916, 2015.
2. S. Amari and H. Nagaoka. Methods of Information Geometry. volume 191 of Translations of mathematical monographs. American Mathematical Society, 2001.
3. V. Arsigny, P. Fillard, X. Pennec, and N. Ayache. Geometric means in a novel vector space structure on symmetric positive-definite matrices. SIAM J. Matrix Analysis Applications, 29 (1): 328-347, 2006.
4. S. Bak, G. Charpiat, E. Corvée, F. Brémond, and M. Thonnat. Learning to match appearances by correlations in a covariance metric space. In European Conference on Computer Vision (ECCV), volume 7574, pages 806-820, 2012.
5. S. Bak, E. Corvée, F. Brémond, and M. Thonnat. Boosted human re-identification using Riemannian manifolds. Image Vision Computing, 30 (6-7): 443-452, 2012.
6. L. Bazzani, M. Cristani, and V. Murino. Symmetry-driven accumulation of local features for human characterization and re-identification. Computer Vision and Image Understanding, 117 (2): 130-144, 2013.
7. M. S. Biagio, M. Crocco, M. Cristani, S. Martelli, and V. Murino. Heterogeneous auto-similarities of characteristics (HASC): exploiting relational information for classification. In IEEE International Conference on Computer Vision (ICCV), pages 809-816, 2013.
8. L. Bo, K. Lai, X. Ren, and D. Fox. Object recognition with hierarchical kernel descriptors. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1729-1736, 2011.
9. J. Carreira, R. Caseiro, J. Batista, and C. Sminchisescu. Freeform region description with second-order pooling. IEEE Trans. Pattern Anal. Mach. Intell., 37 (6): 1177-1189, 2015.
10. L. Gong, T. Wang, and F. Liu. Shape of Gaussians as feature descriptors. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2366-2371, 2009.
11. S. Gong, M. Cristani, S. Yan, and C. C. Loy. Person Re-Identification. Advances in Computer Vision and Pattern Recognition, Springer, 2014.
12. D. Gray and H. Tao. Viewpoint invariant pedestrian recognition with an ensemble of localized features. In European Conference on Computer Vision (ECCV), pages 262-275, 2008.
13. Z. Huang, R. Wang, S. Shan, X. Li, and X. Chen. Log-Euclidean metric learning on symmetric positive definite manifold with application to image set classification. In International Conference on Machine Learning (ICML), pages 720-729, 2015.
14. H. Jégou and O. Chum. Negative evidences and cooccurences in image retrieval: The benefit of PCA and whitening. In European Conference on Computer Vision (ECCV), pages 774-787, 2012.
15. T. Kobayashi and N. Otsu. Image feature extraction using gradient local auto-correlations. In European Conference on Computer Vision (ECCV), pages 346-358, 2008.
16. A. Krizhevsky, I. Sutskever, and G. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems (NIPS), pages 1097-1105, 2012.
17. R. Layne, T. M. Hospedales, and S. Gong. Person reidentification by attributes. In British Machine Vision Conference, (BMVC), pages 1-11, 2012.
18. P. Li and Q. Wang. Local log-Euclidean covariance matrix (L2ECM) for image representation and its applications. In European Conference on Computer Vision (ECCV), pages 469-482, 2012.
19. P. Li, Q. Wang, and L. Zhang. A novel earth mover's distance methodology for image matching with Gaussian mixture models. In IEEE International Conference on Computer Vision (ICCV), pages 1689-1696, 2013.
20. W. Li, R. Zhao, and X. Wang. Human reidentification with transferred metric learning. In Asian Conference on Computer Vision (ACCV), pages 31-44, 2012.
21. W. Li, R. Zhao, T. Xiao, and X. Wang. Deepreid: Deep filter pairing neural network for person re-identification. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 152-159, 2014.
22. Z. Li, S. Chang, F. Liang, T. S. Huang, L. Cao, and J. R. Smith. Learning locally-adaptive decision functions for person verification. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 3610-3617, 2013.
23. S. Liao, Y. Hu, X. Zhu, and S. Z. Li. Person re-identification by local maximal occurrence representation and metric learning. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2197-2206, 2015.
24. S. Liao and S. Z. Li. Efficient PSD constrained asymmetric metric learning for person re-identification. In The IEEE Conference on Computer Vision (ICCV), pages 3685-3693, 2015.
25. M. Lovríc, M. Min-Oo, and E. A. Ruh. Multivariate normal distributions parametrized as a Riemannian symmetric space. Journal of Multivariate Analysis, 74 (1): 36-48, 2000.
26. C. C. Loy, T. Xiang, and S. Gong. Time-delayed correlation analysis for multi-camera activity understanding. International Journal of Computer Vision, 90 (1): 106-129, 2010.
27. B. Ma, Q. Li, and H. Chang. Gaussian descriptor based on local features for person re-identification. In Asian Conference on Computer Vision (ACCV)Workshop, pages 505-518, 2014.
28. B. Ma, Y. Su, and F. Jurie. Local descriptors encoded by Fisher vectors for person re-identification. In European Conference on Computer Vision (ECCV) Workshop, pages 413-422, 2012.
29. B. Ma, Y. Su, and F. Jurie. Covariance descriptor based on bio-inspired features for person re-identification and faceverification. Image and Vision Computing, 32 (6): 379-390, 2014.
30. H. Nakayama, T. Harada, and Y. Kuniyoshi. Global Gaussian approach for scene categorization using information geometry. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2336-2343, 2010.
31. S. Paisitkriangkrai, C. Shen, and A. van den Hengel. Learning to rank in person re-identification with metric ensembles. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1846-1855, 2015.
32. S. Pedagadi, J. Orwell, S. A. Velastin, and B. A. Boghossian. Local Fisher discriminant analysis for pedestrian reidentification. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 3318-3325, 2013.
33. P. M. Roth, M. Hirzer, M. Köstinger, C. Beleznai, and H. Bischof. Mahalanobis distance learning for person reidentification. In Person Re-Identification, pages 247-267, 2014.
34. J. Sánchez, F. Perronnin, T. Mensink, and J. J. Verbeek. Image classification with the Fisher vector: Theory and practice. International Journal of Computer Vision, 105 (3): 222-245, 2013.
35. R. Satta. Appearance descriptors for person re-identification: A comprehensive review. CoRR, abs/1307. 5748, 2013.
36. G. Serra, C. Grana, M. Manfredi, and R. Cucchiara. Covariance of covariance features for image classification. In Proceedings of International Conference on Multimedia Retrieval (ICMR), page 411, 2014.
37. G. Serra, C. Grana, M. Manfredi, and R. Cucchiara. GOLD: Gaussians of local descriptors for image representation. Computer Vision and Image Understanding, 134: 22-32, 2015.
38. Z. Shi, T. M. Hospedales, and T. Xiang. Transferring a semantic representation for person re-identification and search. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 4184-4193, 2015.
39. K. Simonyan, A. Vedaldi, and A. Zisserman. Deep Fisher networks for large-scale image classification. In Neural Information Processing Systems (NIPS), pages 163-171, 2013.
40. O. Tuzel, F. Porikli, and P. Meer. Region covariance: A fast descriptor for detection and classification. In European Conference on Computer Vision (ECCV), pages 589-600, 2006.
41. O. Tuzel, F. Porikli, and P. Meer. Pedestrian detection via classification on Riemannian manifolds. IEEE Trans. Pattern Anal. Mach. Intell., 30 (10): 1713-1727, 2008.
42. F. Xiong, M. Gou, O. Camps, and M. Sznaier. Person reidentification using kernel-based metric learning methods. In European Conference on Computer Vision (ECCV), pages 1-16, 2014.
43. Y. Yang, J. Yang, J. Yan, S. Liao, D. Yi, and S. Z. Li. Salient color names for person re-identification. In European Conference on Computer Vision (ECCV), pages 536-551, 2014.
44. M. Zeng, Z. Wu, C. Tian, L. Zhang, and L. Hu. Efficient person re-identification by hybrid spatiogram and covariance descriptor. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pages 48-56, 2015.
45. R. Zhao, W. Ouyang, and X. Wang. Person re-identification by salience matching. In IEEE International Conference on Computer Vision (ICCV), pages 2528-2535, 2013.
46. R. Zhao, W. Ouyang, and X. Wang. Unsupervised salience learning for person re-identification. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 3586-3593, 2013.
47. R. Zhao, W. Ouyang, and X. Wang. Learning mid-level filters for person re-identification. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 144-151, 2014.
48. W. Zheng, S. Gong, and T. Xiang. Reidentification by relative distance comparison. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35 (3): 653-668, 2013.