Highly efficient regression for scalable person re-identification

British Machine Vision Conference 2016, BMVC 2016

Volumn 2016-September, Issue , 2016, Pages 134.1-134.14

  Wang, Hanxiao ^a   Gong, Shaogang ^a   Xiang, Tao ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION;

COMPUTATIONAL COSTS; HUMAN-IN-THE-LOOP; INCREMENTAL MODELING; INCREMENTAL UPDATES; OPTIMAL PERFORMANCE; PERSON RE IDENTIFICATIONS; SCALABLE SOLUTION; STATE OF THE ART;

REGRESSION ANALYSIS;

EID: 85019717955     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.30.134     Document Type: Conference Paper

References (52)

1. Ejaz Ahmed, Michael J. Jones, and Tim K. Marks. An improved deep learning architecture for person re-identification. In IEEE Conference on Computer Vision and Pattern Recognition, pages 3908–3916. IEEE, 2015. ISBN 978-1-4673-6964-0.
2. Deng Cai, Xiaofei He, and Jiawei Han. Srda: An efficient algorithm for large-scale discriminant analysis. Knowledge and Data Engineering, IEEE Transactions on, 20 (1):1–12, 2008.
3. Nicolas Cebron and Michael R Berthold. Active learning for object classification: from exploration to exploitation. Data Mining and Knowledge Discovery, 18(2):283–299, 2009.
4. Jiaxin Chen, Zhaoxiang Zhang, and Yunhong Wang. Relevance metric learning for person re-identification by exploiting listwise similarities. Image Processing, IEEE Transactions on, 24(12):4741–4755, 2015.
5. Abir Das, Rameswar Panda, and Amit Roy-Chowdhury. Active image pair selection for continuous person re-identification. In IEEE International Conference on Image Processing, Quebec, Canada, September 2015.
6. Shengyong Ding, Liang Lin, Guangrun Wang, and Hongyang Chao. Deep feature learning with relative distance comparison for person re-identification. Pattern Recognition, pages 2993–3003, 2015.
7. Richard O Duda, Peter E Hart, and David G Stork. Pattern classification. John Wiley & Sons, 2012.
8. Sandra Ebert, Mario Fritz, and Bernt Schiele. Ralf: A reinforced active learning formulation for object class recognition. In IEEE Conference on Computer Vision and Pattern Recognition, pages 3626–3633, Providence, Rhode Island, United States, June 2012.
9. Michela Farenzena, Loris Bazzani, Alessandro Perina, Vittorio Murino, and Marco Cristani. Person re-identification by symmetry-driven accumulation of local features. In IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, California, United States, June 2010.
10. Ronald A Fisher. The use of multiple measurements in taxonomic problems. Annals of eugenics, 7(2):179–188, 1936.
11. Keinosuke Fukunaga. Introduction to statistical pattern recognition. Academic press, 2013.
12. Shaogang Gong, Marco Cristani, Change Loy Chen, and Timothy M. Hospedales. The re-identification challenge. In Person Re-Identification. Springer, 2014.
13. Shaogang Gong, Marco Cristani, Shuicheng Yan, and Chen Change Loy. Person re-identification, volume 1. Springer, 2014.
14. Douglas Gray, Shane Brennan, and Hai Tao. Evaluating appearance models for recognition, reacquisition and tracking. In IEEE International Workshop on Performance Evaluation for Tracking and Surveillance, 2007.
15. Trevor Hastie, Robert Tibshirani, Jerome Friedman, and James Franklin. The elements of statistical learning: data mining, inference and prediction. The Mathematical Intel-ligencer, 2005.
16. Arthur E Hoerl and Robert W Kennard. Ridge regression: Biased estimation for nonorthogonal problems. Technometrics, 12(1):55–67, 1970.
17. Timothy M Hospedales, Shaogang Gong, and Tao Xiang. A unifying theory of active discovery and learning. In European Conference on Computer Vision, pages 453–466. Florence, Italy, October 2012.
18. Ajay J Joshi, Fatih Porikli, and Nikolaos Papanikolopoulos. Multi-class active learning for image classification. In IEEE Conference on Computer Vision and Pattern Recognition, pages 2372–2379, Miami, Florida, United States, June 2009.
19. Jaeho Kang, Kwang Ryel Ryu, and Hyuk-Chul Kwon. Using cluster-based sampling to select initial training set for active learning in text classification. In Advances in knowledge discovery and data mining, pages 384–388. Sydney, Australia, May 2004.
20. Martin Koestinger, Martin Hirzer, Paul Wohlhart, Peter M. Roth, and Horst Bischof. Large scale metric learning from equivalence constraints. In IEEE Conference on Computer Vision and Pattern Recognition, Providence, Rhode Island, United States, June 2012.
21. Kibok Lee and Junmo Kim. On the equivalence of linear discriminant analysis and least squares. In AAAI Conference on Artificial Intelligence, 2015.
22. Wei Li and Xiaogang Wang. Locally aligned feature transforms across views. In IEEE Conference on Computer Vision and Pattern Recognition, 2013.
23. Wei Li, Rui Zhao, Tong Xiao, and Xiaogang Wang. Deepreid: Deep filter pairing neural network for person re-identification. In IEEE Conference on Computer Vision and Pattern Recognition, Columbus, Ohio, United States, June 2014.
24. Zhen Li, Shiyu Chang, Feng Liang, Thomas Huang, Liangliang Cao, and John Smith. Learning locally-adaptive decision functions for person verification. In IEEE Conference on Computer Vision and Pattern Recognition, pages 3610–3617, 2013.
25. Shengcai Liao and Stan Z. Li. Efficient psd constrained asymmetric metric learning for person re-identification. In IEEE International Conference on Computer Vision, December 2015.
26. Shengcai Liao, Yang Hu, Xiangyu Zhu, and Stan Z Li. Person re-identification by local maximal occurrence representation and metric learning. In IEEE Conference on Computer Vision and Pattern Recognition, pages 2197–2206, Boston, Massachusetts, United States, June 2015.
27. Giuseppe Lisanti, Iacopo Masi, and Alberto Del Bimbo. Matching people across camera views using kernel canonical correlation analysis. In ACM International Conference on Distributed Smart Cameras, Venice, Italy, November 2014.
28. Li-Ping Liu, Yuan Jiang, and Zhi-Hua Zhou. Least square incremental linear discriminant analysis. In Data Mining, 2009. ICDM’09. Ninth IEEE International Conference on, pages 298–306. IEEE, 2009.
29. Chen Change Loy, Timothy M Hospedales, Tao Xiang, and Shaogang Gong. Stream-based joint exploration-exploitation active learning. In IEEE Conference on Computer Vision and Pattern Recognition, pages 1560–1567, Providence, Rhode Island, United States, June 2012.
30. Chen Change Loy, Chunxiao Liu, and Shaogang Gong. Person re-identification by manifold ranking. In IEEE International Conference on Image Processing, volume 1. Citeseer, 2013.
31. Bingpeng Ma, Yu Su, and Fr d ric Jurie. Local descriptors encoded by fisher vectors for person re-identification. In ECCV workshop, 2012.
32. Alexis Mignon and Fr d ric Jurie. Pcca: A new approach for distance learning from sparse pairwise constraints. In IEEE Conference on Computer Vision and Pattern Recognition, Providence, Rhode Island, United States, June 2012.
33. Thomas Osugi, Deng Kim, and Stephen Scott. Balancing exploration and exploitation: A new algorithm for active machine learning. In IEEE International Conference on Data Mining, Houston, Texas, United States, November 2005.
34. Christopher C Paige and Michael A Saunders. Lsqr: An algorithm for sparse linear equations and sparse least squares. ACM Transactions on Mathematical Software (TOMS), 8(1):43–71, 1982.
35. Sakrapee Paisitkriangkrai, Chunhua Shen, and Anton van den Hengel. Learning to rank in person re-identification with metric ensembles. In IEEE Conference on Computer Vision and Pattern Recognition, pages 1846–1855, 2015.
36. Cheong Hee Park and Haesun Park. A relationship between linear discriminant analysis and the generalized minimum squared error solution. SIAM Journal on Matrix Analysis and Applications, 27(2):474–492, 2005.
37. Sateesh Pedagadi, James Orwell, Sergio A. Velastin, and Boghos A. Boghossian. Local fisher discriminant analysis for pedestrian re-identification. In IEEE Conference on Computer Vision and Pattern Recognition, Portland, Oregon, United States, June 2013.
38. Roger Penrose. A generalized inverse for matrices. In Proc. Cambridge Philos. Soc, volume 51, pages 406–413. Cambridge Univ Press, 1955.
39. Burr Settles and Mark Craven. An analysis of active learning strategies for sequence labeling tasks. In Proceedings of the conference on empirical methods in natural language processing, pages 1070–1079. Association for Computational Linguistics, 2008.
40. Hailin Shi, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Yang Yang, and Stan Z Li. Constrained deep metric learning for person re-identification. arXiv preprint arXiv:1511.07545, 2015.
41. Taiqing Wang, Shaogang Gong, Xiatian Zhu, and Shengjin Wang. Person re-identification by video ranking. In European Conference on Computer Vision, Zurich, Switzerland, September 2014.
42. Taiqing Wang, Shaogang Gong, Xiatian Zhu, and Shengjin Wang. Person re-identification by discriminative selection in video ranking. IEEE Transactions on Pattern Analysis and Machine Intelligence, January 2016.
43. Max A Woodbury. Inverting modified matrices. Memorandum report, 42:106, 1950.
44. Fei Xiong, Mengran Gou, Octavia Camps, and Mario Sznaier. Person re-identification using kernel-based metric learning methods. In European Conference on Computer Vision. Zurich, Switzerland, September 2014.
45. Yang Yang, Jimei Yang, Junjie Yan, Shengcai Liao, Dong Yi, and Stan Z. Li. Salient color names for person re-identification. In European Conference on Computer Vision, 2014.
46. Jieping Ye. Least squares linear discriminant analysis. In Proceedings of the 24th international conference on Machine learning, pages 1087–1093. ACM, 2007.
47. Li Zhang, Tao Xiang, and Shaogang Gong. Learning a discriminative null space for person re-identification. In IEEE Conference on Computer Vision and Pattern Recognition, 2016.
48. Zhihua Zhang, Guang Dai, and Michael I Jordan. A flexible and efficient algorithm for regularized fisher discriminant analysis. In Machine Learning and Knowledge Discovery in Databases, pages 632–647. Springer, 2009.
49. Zhihua Zhang, Guang Dai, Congfu Xu, and Michael I Jordan. Regularized discriminant analysis, ridge regression and beyond. The Journal of Machine Learning Research, 11: 2199–2228, 2010.
50. Rui Zhao, Wanli Ouyang, and Xiaogang Wang. Unsupervised salience learning for person re-identification. In IEEE Conference on Computer Vision and Pattern Recognition, Portland, Oregon, United States, June 2013.
51. Rui Zhao, Wanli Ouyang, and Xiaogang Wang. Learning mid-level filters for person re-identification. In IEEE Conference on Computer Vision and Pattern Recognition, Columbus, Ohio, United States, June 2014.
52. Wei-Shi Zheng, Shaogang Gong, and Tao Xiang. Re-identification by relative distance comparison. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 653–668, March 2013.