UPAR Challenge:Pedestrian Attribute Recognition and Attribute-based Person Retrieval - Dataset, Design, and Results

Autor: Mickael Cormier, Andreas Specker, Julio C. S. Jacques, Lucas Florin, Jurgen Metzler, Thomas B. Moeslund, Kamal Nasrollahi, Sergio Escalera, Jurgen Beyerer

Publikováno v: Cormier, M, Specker, A, Jacques, J C S, Florin, L, Metzler, J, Moeslund, T B, Nasrollahi, K, Escalera, S & Beyerer, J 2023, UPAR Challenge : Pedestrian Attribute Recognition and Attribute-based Person Retrieval-Dataset, Design, and Results . in Proceedings-2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023 . IEEE, Proceedings-2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023, pp. 166-175, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023, Waikoloa, United States, 03/01/2023 . https://doi.org/10.1109/WACVW58289.2023.00022

In civilian video security monitoring, retrieving and tracking a person of interest often rely on witness testimony and their appearance description. Deployed systems rely on a large amount of annotated training data and are expected to show consiste

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5660592d7a7602b74d1a7c5fbd66a490
https://vbn.aau.dk/da/publications/5edeca26-edbb-49ba-b7cc-1980e07ceee9

An Occlusion-aware Multi-target Multi-camera Tracking System

Autor: Andreas Specker, Daniel Stadler, Lucas Florin, Jürgen Beyerer

Publikováno v: CVPR Workshops

Multi-camera tracking of vehicles on a city-scale level is a crucial task for efficient traffic monitoring. Most of the errors made by such multi-target multi-camera tracking systems arise due to tracking failures or misleading visual information of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b18c2596aa75be29008716c31a9412f8
https://doi.org/10.1109/cvprw53098.2021.00471