Gait-based person re-identification: A survey
The way people walk is a strong correlate of their identity. Several studies have shown that
both humans and machines can recognize individuals just by their gait, given that proper …
both humans and machines can recognize individuals just by their gait, given that proper …
Features for multi-target multi-camera tracking and re-identification
Abstract Multi-Target Multi-Camera Tracking (MTMCT) tracks many people through video
taken from several cameras. Person Re-Identification (Re-ID) retrieves from a gallery images …
taken from several cameras. Person Re-Identification (Re-ID) retrieves from a gallery images …
Performance measures and a data set for multi-target, multi-camera tracking
To help accelerate progress in multi-target, multi-camera tracking systems, we present (i) a
new pair of precision-recall measures of performance that treats errors of all types uniformly …
new pair of precision-recall measures of performance that treats errors of all types uniformly …
Person re-identification based on deep learning—An overview
W Wei, W Yang, E Zuo, Y Qian, L Wang - Journal of Visual Communication …, 2022 - Elsevier
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 …
the same person from different cameras. This task is extremely challenging due to changes …
Local fisher discriminant analysis for pedestrian re-identification
S Pedagadi, J Orwell, S Velastin… - Proceedings of the …, 2013 - cv-foundation.org
Metric learning methods, for person re-identification, estimate a scaling for distances in a
vector space that is optimized for picking out observations of the same individual. This paper …
vector space that is optimized for picking out observations of the same individual. This paper …
A survey of approaches and trends in person re-identification
A Bedagkar-Gala, SK Shah - Image and vision computing, 2014 - Elsevier
Person re-identification is a fundamental task in automated video surveillance and has been
an area of intense research in the past few years. Given an image/video of a person taken …
an area of intense research in the past few years. Given an image/video of a person taken …
A spatio-temporal appearance representation for viceo-based pedestrian re-identification
Pedestrian re-identification is a difficult problem due to the large variations in a person's
appearance caused by different poses and viewpoints, illumination changes, and …
appearance caused by different poses and viewpoints, illumination changes, and …
Video-based person re-identification by simultaneously learning intra-video and inter-video distance metrics
Video-based person re-identification (re-id) is an important application in practice. Since
large variations exist between different pedestrian videos, as well as within each video, it is …
large variations exist between different pedestrian videos, as well as within each video, it is …
One-shot person re-identification with a consumer depth camera
In this chapter, we propose a comparison between two techniques for one-shot person re-
identification from soft biometric cues. One is based upon a descriptor composed of features …
identification from soft biometric cues. One is based upon a descriptor composed of features …
Video-based pedestrian re-identification by adaptive spatio-temporal appearance model
Pedestrian re-identification is a difficult problem due to the large variations in a person's
appearance caused by different poses and viewpoints, illumination changes, and …
appearance caused by different poses and viewpoints, illumination changes, and …