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

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