| Citation: | Ying CHEN, Xiaoyue XU. Matrix Metric Learning for Person Re-identification Based on Bidirectional Reference Set[J]. Journal of Electronics & Information Technology, 2020, 42(2): 394-402. doi: 10.11999/JEIT190159
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To solve the problem of inaccurate feature representation caused by indistinctive appearance difference in person re-identification domain, a new Matrix Metric Learning algerithm based on Bidirectional Reference (BRM2L) set is proposed. Firstly, reciprocal-neighbor reference sets in different camera views are respectively constructed by the reciprocal-neighbor scheme. To ensure the robustness of reference sets, the reference sets in different camera views are jointly considered to generate the Bidirectional Reference Set (BRS). With hard samples which are mined by the BRS to represent feature descriptors, accurate appearance difference representations could be obtained. Finally, these representations are utilized to conduct more effective matrix metric learning. Experimental results on several public datasets demonstrate the superiority of the proposed method.
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FARENZENA M, BAZZANI L, PERINA A, et al. Person re-identification by symmetry-driven accumulation of local features[C]. 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, USA, 2010: 2360–2367.
|
|
李幼蛟, 卓力, 张菁, 等. 行人再识别技术综述[J]. 自动化学报, 2018, 44(9): 1554–1568. doi: 10.16383/j.aas.2018.c170505
LI Youjiao, ZHUO Li, ZHANG Jing, et al. A survey of person re-identification[J]. Acta Automatica Sinica, 2018, 44(9): 1554–1568. doi: 10.16383/j.aas.2018.c170505
|
|
ZHENG Lilei, DUFFNER S, IDRISSI K, et al. Pairwise identity verification via linear concentrative metric learning[J]. IEEE Transactions on Cybernetics, 2018, 48(1): 324–335. doi: 10.1109/TCYB.2016.2634011
|
|
WANG Zheng, HU Ruimin, CHEN Chen, et al. Person reidentification via discrepancy matrix and matrix metric[J]. IEEE Transactions on Cybernetics, 2018, 48(10): 3006–3020. doi: 10.1109/TCYB.2017.2755044
|
|
CHEN Xiaojing, AN Le, and BHANU B. Reference set based appearance model for tracking across non-overlapping cameras[C]. 2013 International Conference on Distributed Smart Cameras, Palm Springs, USA, 2013: 1–6.
|
|
AN Le, KAFAI M, YANG Songfan, et al. Person reidentification with reference descriptor[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2016, 26(4): 776–787. doi: 10.1109/TCSVT.2015.2416561
|
|
LIAO Shengcai and LI S Z. Efficient PSD constrained asymmetric metric learning for person re-identification[C]. 2015 IEEE International Conference on Computer Vision, Santiago, Chile, 2015: 3685–3693.
|
|
ZHONG Zhun, ZHENG Liang, CAO Donglin, et al. Re-ranking person re-identification with k-reciprocal encoding[C]. 2017 IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, USA, 2017: 3652–3661.
|
|
SUN Yipeng, TAO Xiaoming, LI Yang, et al. Robust two-dimensional principal component analysis via alternating optimization[C]. 2013 IEEE International Conference on Image Processing, Melbourne, Australia, 2013: 340–344.
|
|
GRAY D, BRENNAN S, and TAO Hai. Evaluating appearance models for recognition, reacquisition, and tracking[C]. The 10th IEEE International Workshop on Performance Evaluation for Tracking and Surveillance, Rio de Janeiro, 2007: 1–7.
|
|
ROTH P M, HIRZER M, KÖSTINGER M, et al. Mahalanobis Distance Learning For Person Re-identification[M]. London: Springer, 2014: 247–267.
|
|
LI Wei, ZHAO Rui, and WANG Xiaogang. Human reidentification with transferred metric learning[C]. The 11th Asian Conference on Computer Vision, Daejeon, Korea, 2012: 31–44.
|
|
WANG Xiaogang, DORETTO G, SEBASTIAN T, et al. Shape and appearance context modeling[C]. The 11th IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil, 2007: 1–8.
|
|
MATSUKAWA T, OKABE T, SUZUKI E, et al. Hierarchical gaussian descriptor for person re-identification[C]. 2016 IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, USA, 2016: 1363–1372.
|
|
MATSUKAWA T and SUZUKI E. Person re-identification using CNN features learned from combination of attributes[C]. The 23rd International Conference on Pattern Recognition, Cancun, Mexico, 2016: 2428–2433.
|
|
MIGNON A and JURIE F. PCCA: A new approach for distance learning from sparse pairwise constraints[C]. 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, USA, 2012: 2666–2672.
|
|
MA Bingpeng, SU Yu, and JURIE F. Bicov: A novel image representation for person re-identification and face verification[C]. British Machive Vision Conference, Surrey, UK, 2012: 57. 1–57.
|
|
KÖSTINGER M, HIRZER M, WOHLHART P, et al. Large scale metric learning from equivalence constraints[C]. 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, USA, 2012: 2288–2295.
|
|
ZHAO Rui, OUYANG Wanli, and WANG Xiaogang. Unsupervised salience learning for person re-identification[C]. 2013 IEEE Conference on Computer Vision and Pattern Recognition, Portland, USA, 2013: 3586–3593.
|
|
LI Zhen, CHANG Shiyu, LIANG Feng, et al. Learning locally-adaptive decision functions for person verification[C]. 2013 IEEE Conference on Computer Vision and Pattern Recognition, Portland, USA, 2013: 3610–3617.
|
|
ZHAO Rui, OUYANG Wanli, and WANG Xiaogang. Learning mid-level filters for person re-identification[C]. 2014 IEEE Conference on Computer Vision and Pattern Recognition, Columbus, USA, 2014: 144–151.
|
|
YANG Yang, YANG Jimei, YAN Junjie, et al. Salient color names for person re-identification[C]. The 13th European Conference on Computer Vision, Zurich, Switzerland, 2014: 536–551.
|
|
LIAO Shengcai, HU Yang, ZHU Xiangyu, et al. Person re-identification by local maximal occurrence representation and metric learning[C]. 2015 IEEE Conference on Computer Vision and Pattern Recognition, Boston, USA, 2015: 2197–2206.
|
|
YI Dong, LEI Zhen, LIAO Shengcai, et al. Deep metric learning for person re-identification[C]. 2014 International Conference on Pattern Recognition, Stockholm, Sweden, 2014: 34–39.
|
|
CHEN Shizhe, GUO Chaochun, and LAI Jianhuang. Deep ranking for person re-identification via joint representation learning[J]. IEEE Transactions on Image Processing, 2016, 25(5): 2353–2367. doi: 10.1109/TIP.2016.2545929
|
|
WANG Jin, WANG Zheng, GAO Changxin, et al. DeepList: Learning deep features with adaptive listwise constraint for person reidentification[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2017, 27(3): 513–524. doi: 10.1109/tcsvt.2016.2586851
|
|
DE CARVALHO PRATES R F and SCHWARTZ W R. CBRA: Color-based ranking aggregation for person re-identification[C]. 2015 IEEE International Conference on Image Processing, Quebec City, Canada, 2015: 1975–1979.
|
|
SHEN Yang, LIN Weiyao, YAN Junchi, et al. Person re-identification with correspondence structure learning[C]. 2015 IEEE International Conference on Computer Vision, Santiago, Chile, 2015: 3200–3208.
|
|
CHEN Yingcong, ZHENG Weishi, and LAI Jianhuang. Mirror representation for modeling view-specific transform in person re-identification[C]. The 24th International Conference on Artificial Intelligence, Buenos Aires, Argentina, 2015: 3402–3408.
|
|
YAO Wenbin, WENG Zhenyu, and ZHU Yuesheng. Diversity regularized metric learning for person re-identification[C]. 2016 IEEE International Conference on Image Processing, Phoenix, USA, 2016: 4264–4268.
|
|
AHMED E, JONES M, and MARKS T K. An improved deep learning architecture for person re-identification[C]. 2015 IEEE Conference on Computer Vision and Pattern Recognition, Boston, USA, 2015: 3908–3916.
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