Strongsort: Make deepsort great again

Y Du, Z Zhao, Y Song, Y Zhao, F Su… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Recently, Multi-Object Tracking (MOT) has attracted rising attention, and accordingly,
remarkable progresses have been achieved. However, the existing methods tend to use …

Clothes-changing person re-identification with rgb modality only

X Gu, H Chang, B Ma, S Bai… - Proceedings of the …, 2022 - openaccess.thecvf.com
The key to address clothes-changing person re-identification (re-id) is to extract clothes-
irrelevant features, eg, face, hairstyle, body shape, and gait. Most current works mainly focus …

Deep learning in multi-object detection and tracking: state of the art

SK Pal, A Pramanik, J Maiti, P Mitra - Applied Intelligence, 2021 - Springer
Object detection and tracking is one of the most important and challenging branches in
computer vision, and have been widely applied in various fields, such as health-care …

Towards real-time multi-object tracking

Z Wang, L Zheng, Y Liu, Y Li, S Wang - European conference on computer …, 2020 - Springer
Modern multiple object tracking (MOT) systems usually follow the tracking-by-detection
paradigm. It has 1) a detection model for target localization and 2) an appearance …

Infrared machine vision and infrared thermography with deep learning: A review

Y He, B Deng, H Wang, L Cheng, K Zhou, S Cai… - Infrared physics & …, 2021 - Elsevier
Infrared imaging-based machine vision (IRMV) is the technology used to automatically
inspect, detect, and analyse infrared images (or videos) obtained by recording the intensity …

Gait recognition in the wild: A benchmark

Z Zhu, X Guo, T Yang, J Huang… - Proceedings of the …, 2021 - openaccess.thecvf.com
Gait benchmarks empower the research community to train and evaluate high-performance
gait recognition systems. Even though growing efforts have been devoted to cross-view …

Ad-cluster: Augmented discriminative clustering for domain adaptive person re-identification

Y Zhai, S Lu, Q Ye, X Shan, J Chen… - Proceedings of the …, 2020 - openaccess.thecvf.com
Abstract Domain adaptive person re-identification (re-ID) is a challenging task, especially
when person identities in target domains are unknown. Existing methods attempt to address …

An in-depth exploration of person re-identification and gait recognition in cloth-changing conditions

W Li, S Hou, C Zhang, C Cao, X Liu… - Proceedings of the …, 2023 - openaccess.thecvf.com
The target of person re-identification (ReID) and gait recognition is consistent, that is to
match the target pedestrian under surveillance cameras. For the cloth-changing problem …