查看文章

Person Re-Identification (Re-ID) is a critical aspect of visual surveillance systems, which aims to automatically recognize and locate individuals across a multi-camera network with non-overlapping fields-of-view. Despite significant progress in recent years through the use of deep learning-based approaches, there remain many vision-related challenges, such as occlusion, pose, background clutter, misalignment, scale, viewpoint, low resolution & illumination, and cross-domain generalization across camera modalities, that hinder the accurate identification of individuals. The majority of the proposed approaches directly or indirectly aim to solve one or multiple of these existing challenges. To further advance the development of Re-ID solutions, a comprehensive review of the current approaches is necessary. However, no focused review currently exists that analyses and highlights specific aspects for further …