Cloth-changing person re-identification aims to retrieve and identify
spe-cific pedestrians by using cloth-irrelevant features in person
cloth-changing scenarios. However, pedestrian images captured by surveillance
probes usually contain occlusions in real-world scenarios. The perfor-mance of
existing cloth-changing re-identification methods is significantly degraded due
to the reduction of discriminative cloth-irrelevant features caused by
occlusion. We define cloth-changing person re-identification in occlusion
scenarios as occluded cloth-changing person re-identification (Occ-CC-ReID),
and to the best of our knowledge, we are the first to pro-pose occluded
cloth-changing person re-identification as a new task. We constructed two
occluded cloth-changing person re-identification datasets for different
occlusion scenarios: Occluded-PRCC and Occluded-LTCC. The datasets can be
obtained from the following link:
this https URL Re-Identification.

通过在人物换装场景中使用与服装无关的特征来检索和识别特定行人的换装人物重识别目标中，该论文定义了遮挡换装人物重识别作为一个新的任务，并构建了两个用于不同遮挡情境的遮挡换装人物重识别数据集。