Open Access
Volume 37, Number 5, October 2019
Page(s) 1070 - 1076
Published online 14 January 2020
  1. Cai Q, Aggarwal J K. Tracking Human Motion Using Multiple Cameras[C]//International Conference on Pattern Recognition, 1996: 68–72 [Article] [Google Scholar]
  2. Gheissari N, Sebastian T B. Person Reidentification using Spatiotemporal Appearance[C]//Computer Vision and Pattern Recognition, 2016: 1528–1535 [Article] [Google Scholar]
  3. Weinberger K Q, Saul L K. Distance Metric Learning for Large Margin Nearest Neighbor Classification[J]. Journal of Machine Learning Research, 2009, 10(1): 207–244 [Article] [Google Scholar]
  4. Zheng W S, Gong S, Xiang T. Person Re-Identification by Probabilistic Relative Distance Comparison[C]//Computer Vision and Pattern Recognition, 2011: 649–656 [Article] [Google Scholar]
  5. Li A, Liu L, Yan S. Person Re-Identification by Attribute-Assisted Clothes Appearance[M]. Springer London, Person Re-Identification, 2014: 119–138 [Google Scholar]
  6. Varior R R, Shuai B, Lu J, et al. A Siamese Long Short-Term Memory Architecture for Human Re-Identification[J]. European Conference on Computer Vision, 2016, 135–153 [Article] [Google Scholar]
  7. Zheng L, Huang Y, Lu H, et al. Pose Invariant Embedding for Deep Person Re-Identification[J]. Computer Vision and Pattern Recognition, 2017 [Article] [Google Scholar]
  8. Zhao L, Li X, Wang J, et al. Deeply-Learned Part-Aligned Representations for Person Re-identification[J]. Computer Vision and Pattern Recognition, 2017, 1: 3239–3248 [Article] [Google Scholar]
  9. Wei L, Zhang S, Yao H, et al. GLAD:Global-Local-Alignment Descriptor for Pedestrian Retrieval[J]. Computer Vision and Pattern Recognition, 2017 [Article] [Google Scholar]
  10. Zhao H, Tian M, Sun S, et al. Spindle Net: Person Re-Identification with Human Body Region Guided Feature Decomposition and Fusion[C]//Computer Vision and Pattern Recognition, 2017, 1: 907–915 [Article] [Google Scholar]
  11. Zhang K, Zhang Z, Li Z, et al. Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks[J]. IEEE Signal Processing Letters, 2016, 23(10): 1499–1503 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  12. Wei S E, Ramakrishna V, Kanade T, et al. Convolutional Pose Machines[J]. Computer Vision and Pattern Recognition, 2016, 4724–4732 [Article] [Google Scholar]
  13. Li W, Zhao R, Wang X, et al. Human Reidentification with Transferred Metric Learning[C]//Asian Conference on Computer Vision, 2012: 31–44 [Article] [Google Scholar]
  14. Li W, Zhao R, Xiao T, et al. DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification[C]//2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014: 152–159 [Article] [Google Scholar]
  15. Gray D, Tao H. Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features[C]//European Conference on Computer Vision, 2008: 262–275 [Article] [Google Scholar]
  16. Hirzer M, Beleznai C, Roth P M, et al. Person Re-Identification by Descriptive and Discriminative Classification[C]//Scandinavian Conference on Image Analysis, 2011: 91–102 [Article] [Google Scholar]
  17. Wang T, Gong S, Zhu X, et al. Person Re-Identification by Video Ranking[C]//European Conference on Computer Vision, 2014: 688–703 [Article] [Google Scholar]
  18. Baltieri, Davide, et al. 3DPeS: 3D People Dataset for Surveillance and Forensics[C]//Proceedings of the 2011 Joint ACM Workshop on Human Gesture and Behavior Understanding, 2011: 59–64 [Article] [Google Scholar]
  19. Decann B, Ross A. Relating ROC and CMC Curves via the Biometric Menagerie[C]//IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems, 2013: 1–8 [Article] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.