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 …

Abstract Object Re-identification (Re-ID) aims to identify specific objects across different
times and scenes, which is a widely researched task in computer vision. For a prolonged …

Comparing the appearance of corresponding body parts is essential for person re-
identification. As body parts are frequently misaligned between the detected human boxes …

In this paper, we propose a novel method called AlignedReID that extracts a global feature
which is jointly learned with local features. Global feature learning benefits greatly from local …

摘要行人重识别是计算机视觉领域近年来非常热的一个研究课题, 可以被视为图像检索的一个子
问题, 其目标是给定一个监控行人图像检索跨设备下的该行人图像. 传统的方法依赖手工特征 …

We focus on the one-shot learning for video-based person re-Identification (re-ID).
Unlabeled tracklets for the person re-ID tasks can be easily obtained by pre-processing …

Video-based person re-identification matches video clips of people across non-overlapping
cameras. Most existing methods tackle this problem by encoding each video frame in its …

This paper proposes the Global-Local Temporal Representation (GLTR) to exploit the multi-
scale temporal cues in video sequences for video person Re-Identification (ReID). GLTR is …

Person re-identification across disjoint camera views has been widely applied in video
surveillance yet it is still a challenging problem. One of the major challenges lies in the lack …

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 …