Person Re-identification with Correspondence Structure Learning
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| Authors | Yang Shen, Weiyao Lin, Junchi Yan, Jingdong Wang, Jianxin Wu, Mingliang Xu |
| Journal/Conference Name | ICCV 2015 12 |
| Paper Category | Artificial Intelligence |
| Paper Abstract | This paper addresses the problem of handling spatial misalignments due to camera-view changes or human-pose variations in person re-identification. We first introduce a boosting-based approach to learn a correspondence structure which indicates the patch-wise matching probabilities between images from a target camera pair. The learned correspondence structure can not only capture the spatial correspondence pattern between cameras but also handle the viewpoint or human-pose variation in individual images. We further introduce a global-based matching process. It integrates a global matching constraint over the learned correspondence structure to exclude cross-view misalignments during the image patch matching process, hence achieving a more reliable matching score between images. Experimental results on various datasets demonstrate the effectiveness of our approach. |
| Date of publication | 2015 |
| Code Programming Language | Unspecified |
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