In recent years, person re-identification (ReID) has received much attention since it is a
fundamental task in intelligent surveillance systems and has widespread application …

Cross-modality person re-identification (cm-ReID) is a challenging but key technology for
intelligent video analysis. Existing works mainly focus on learning modality-shared …

Feature extraction and matching are two crucial components in person Re-Identification
(ReID). The large pose deformations and the complex view variations exhibited by the …

In this paper, we address the problem of person re-identification, which refers to associating
the persons captured from different cameras. We propose a simple yet effective human part …

Pedestrian misalignment, which mainly arises from detector errors and pose variations, is a
critical problem for a robust person re-identification (re-ID) system. With poor alignment, the …

The huge variance of human pose and the misalignment of detected human images
significantly increase the difficulty of person Re-Identification (Re-ID). Moreover, efficient Re …

Person re-identification (re-ID) is a cross-camera retrieval task that suffers from image style
variations caused by different cameras. The art implicitly addresses this problem by learning …

In recent years, with the increasing demand for public safety and the rapid development of
intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot …

The visual appearance of a person is easily affected by many factors like pose variations,
viewpoint changes and camera parameter differences. This makes person Re-Identification …

Person re-identification (re-id) suffers from a serious occlusion problem when applied to
crowded public places. In this paper, we propose to retrieve a full-body person image by …