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Runner re-identification from single-view running video in the open-world setting
April 18, 2024, 4:45 a.m. | Tomohiro Suzuki, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii
cs.CV updates on arXiv.org arxiv.org
Abstract: In many sports, player re-identification is crucial for automatic video processing and analysis. However, most of the current studies on player re-identification in multi- or single-view sports videos focus on re-identification in the closed-world setting using labeled image dataset, and player re-identification in the open-world setting for automatic video analysis is not well developed. In this paper, we propose a runner re-identification system that directly processes single-view video to address the open-world setting. In the …
abstract analysis and analysis arxiv cs.ai cs.cv cs.lg current dataset focus however identification image open-world processing running sports studies type video video processing videos view world
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