Name
Title | ||
|---|---|---|
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization |
Abstract | ||
|---|---|---|
Cloth-Changing person re-identification (CC-ReID) aims at matching the same person across different locations over a long-duration, e.g., over days, and therefore inevitably has cases of changing clothing. In this paper, we focus on handling well the CC-ReID problem under a more challenging setting, i.e., just from a single image, which enables an efficient and latency-free person identity matching for surveillance. Specifically, we introduce Gait recognition as an auxiliary task to drive the Image ReID model to learn cloth-agnostic representations by leveraging personal unique and cloth-independent gait information, we name this framework as GI-ReID. GI-ReID adopts a two-stream architecture that consists of an image ReID-Stream and an auxiliary gait recognition stream (Gait-Stream). The Gait-Stream, that is discarded in the inference for high efficiency, acts as a regulator to encourage the ReID-Stream to capture cloth-invariant biometric motion features during the training. To get temporal continuous motion cues from a single image, we design a Gait Sequence Prediction (GSP) module for Gait-Stream to enrich gait information. Finally, a semantics consistency constraint over two streams is enforced for effective knowledge regularization. Extensive experiments on multiple image-based Cloth-Changing ReID benchmarks, e.g., LTCC, PRCC, Real28, and VC-Clothes, demonstrate that GI-ReID performs favorably against the state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/CVPR52688.2022.01388 | IEEE Conference on Computer Vision and Pattern Recognition |
Keywords | DocType | Volume |
Recognition: detection,categorization,retrieval, Vision applications and systems | Conference | 2022 |
Issue | Citations | PageRank |
1 | 0 | 0.34 |
References | Authors | |
0 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Jin | 1 | 35 | 6.06 |
| Tianyu He | 2 | 24 | 5.05 |
| Kecheng Zheng | 3 | 5 | 4.15 |
| Zhiheng Yin | 4 | 0 | 1.01 |
| xu shen | 5 | 27 | 5.85 |
| Zhen Huang | 6 | 1 | 1.04 |
| Ruoyu Feng | 7 | 0 | 0.68 |
| Jianqiang Huang | 8 | 55 | 19.18 |
| Xian-Sheng Hua | 9 | 6566 | 328.17 |
| Zhibo Chen | 10 | 270 | 44.69 |