Abstract 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 …

Although there has been a growing body of work for face recognition, it is still a challenging
task for faces under occlusion with limited training samples. In this work, we propose a novel …

Cross-modal person re-identification (Re-id) under infrared light and visible light (RGB-IR) is
of great significance for modern video surveillance, especially nighttime surveillance. The …

Visible-thermal person re-identification (VT-ReID) is an important task for retrieving
pedestrian between visible and thermal modality. It makes up for the drawbacks of single …

When the faces of individuals are not clearly identifiable in surveillance videos due to
variations in poses, camera viewpoints and occlusions, the appearances of people play a …

Partial person re-identification is a challenging task, in which only a partial observation of a
person is available. There is severe misalignment when directly comparing a partial image …

视频行人重识别旨在不同摄像头拍摄的视频中检索特定行人. 但是, 它面临着数据量庞大和视频
数据存在时间冗余的问题, 即视频数据耗费大量的存储空间且不同帧之间存在极强的相关性 …

Primary intention of this research is to design and develop an effectual approach for re-
identifying the persons. The proposed approach involves four stages named human …

In recent years, the progress of person re-identification has advanced significantly, but
person in real scenes are often obscured by various objects. This problem has been ignored …

The majority of existing person re-identification (re-ID) approaches adopt supervised
learning pattern, which require large amount of labeled data to train models. However, due …