Person re-identification (ReID) is an intelligent video surveillance technology that retrieves
the same person from different cameras. This task is extremely challenging due to changes …

Person re-identification, identifying and tracking pedestrians in cross-domain monitoring
systems, is an important technology in the computer vision field and of real significance for …

Autoencoder based methods are the majority of deep unsupervised outlier detection
methods. However, these methods perform not well on complex image datasets and suffer …

Video-based person re-identification (re-id) matches two tracks of persons from different
cameras. Features are extracted from the images of a sequence and then aggregated as a …

Capturing long-range dependencies during feature extraction is crucial for video-based
person re-identification (re-id) since it would help to tackle many challenging problems such …

Video-based person re-identification has received considerable attention in recent years
due to its significant application in video surveillance. Compared with image-based person …

The wavelet transform has emerged as a powerful tool in deciphering structural information
within images. And now, the latest research suggests that combining the prowess of wavelet …

Most person re-identification (re-ID) approaches are based on representation learning of
pedestrian images, which assume that the person's appearance captured by cameras in the …