Abstract
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.
Abstract (translated)
衣物换人识别旨在通过在人员更衣场景中使用与衣物无关的特征来检索和识别特定的行人。然而，由遮挡导致的现实场景中行人图像通常包含遮挡。由于遮挡导致歧视性衣物无关特征的减少，现有衣物换人识别方法的性能 significantly degraded。我们将遮挡场景中的衣物换人识别定义为遮挡衣物换人识别（Occ-CC-ReID），据我们所知，我们第一个提出了遮挡衣物换人识别作为新任务。我们为不同遮挡场景构建了两个遮挡衣物换人识别数据集：Occluded-PRCC和Occluded-LTCC。数据集可以通过以下链接获取：https://this.url。
URL
https://arxiv.org/abs/2403.08557
