The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Gated Siamese Convolutional Neural Network Architecture for Human Re-identification
Open accessAbstract
Matching pedestrians across multiple camera views, known as human re-identification, is a challenging research problem that has numerous applications in visual surveillance. With the resurgence of Convolutional Neural Networks (CNNs), several end-to-end deep Siamese CNN architectures have been proposed for human re-identification with the objective of projecting the images of similar pairs (i.e. same identity) to be closer to each other and those of dissimilar pairs to be distant from each other. However, current networks extract fixed representations for each image regardless of other images which are paired with it and the comparison with other images is done only at the final level. In this setting, the network is at risk of failing to extract finer local patterns that may be essential to distinguish positive pairs from hard negative pairs. In this paper, we propose a gating function to selectively emphasize such fine common local patterns by comparing the mid-level features across pairs of images. This produces flexible representations for the same image according to the images they are paired with. We conduct experiments on the CUHK03, Market-1501 and VIPeR datasets and demonstrate improved performance compared to a baseline Siamese CNN architecture.
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Cites
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Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2015) · arXiv · doi:10.48550/arxiv.1512.03385 · Cited by 4,196
SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK
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Cited by
Zhang, Y., Xiang, T., Hospedales, T. M., & Lu, H. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00454 · Cited by 1,752
Harmonious Attention Network for Person Re-identification
Li, W., Zhu, X., & Gong, S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00243 · Cited by 1,449
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
Liu, J., Shahroudy, A., Xu, D., & Wang, G. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46487-9_50 · Cited by 1,351
Self-citationA Discriminatively Learned CNN Embedding for Person Reidentification
Zheng, Z., Zheng, L., & Yang, Y. (2018) · ACM Transactions on Multimedia Computing, Communications, and Applications · doi:10.1145/3159171 · Cited by 874
Pose-Driven Deep Convolutional Model for Person Re-identification
Su, C., Li, J., Zhang, S., Xing, J., Gao, W., & Tian, Q. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.427 · Cited by 832
Metadata
- Authors
- Varior, R. R., Haloi, M., & Wang, G.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 791-808
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2502225121
- Cited by
- 723
- References
- 7
- FWCI
- 45.58
- Type
- conference paper
- Language
- en
- Open access
- green
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