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pro vyhledávání: '"Hu, Qingrui"'
Autor:
Yin, Li, Yeung, Calvin, Hu, Qingrui, Ichikawa, Jun, Azechi, Hirotsugu, Takahashi, Susumu, Fujii, Keisuke
Multi-object tracking (MOT) is crucial for various multi-agent analyses such as evaluating team sports tactics and player movements and performance. While pedestrian tracking has advanced with Tracking-by-Detection MOT, team sports like basketball po
Externí odkaz:
http://arxiv.org/abs/2412.06258
The study of collective animal behavior, especially in aquatic environments, presents unique challenges and opportunities for understanding movement and interaction patterns in the field of ethology, ecology, and bio-navigation. The Fish Tracking Cha
Externí odkaz:
http://arxiv.org/abs/2409.00339
Recent deep learning-based object detection approaches have led to significant progress in multi-object tracking (MOT) algorithms. The current MOT methods mainly focus on pedestrian or vehicle scenes, but basketball sports scenes are usually accompan
Externí odkaz:
http://arxiv.org/abs/2406.19655
Autor:
Yang, Huiyuan, Hu, Qingrui, Yang, Peng, Gao, Xiaofeng, Luo, Lijun, Zhang, Di, Liu, Qi, Mao, Shengjun
Publikováno v:
In Neuroscience 1 November 2022 503:69-82
Publikováno v:
In Journal of Visual Communication and Image Representation October 2021 80
Akademický článek
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