Precise player segmentation in team sports videos using contrast-aware co-segmentation

Tsung Yu Tsai, Yen-Yu Lin, Hong Yuan Mark Liao, Shyh Kang Jengg

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

Player segmentation in team sports videos is challenging but crucial to video semantic understanding, such as player interaction identification and tactic analysis. We leverage the appearance similarity among players of the same team, and cast this task as a co-segmentation problem. In this way, the extra knowledge shared across players significantly reduces unfavorable uncertainty in segmenting individual players. We are also aware that the performance of co-segmentation highly depends on the used features, and further propose a contrast-based approach to estimate the discriminant power of each feature in an unsupervised manner. It turns out that our approach can properly fuse features by assigning higher weights to discriminant ones, and result in remarkable performance gains. The promising results on segmenting basketball players manifest the effectiveness of our approach.

原文English
主出版物標題2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1826-1830
頁數5
ISBN(電子)9781479999880
DOIs
出版狀態Published - 18 五月 2016
事件41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai, China
持續時間: 20 三月 201625 三月 2016

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
2016-May
ISSN(列印)1520-6149

Conference

Conference41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
國家China
城市Shanghai
期間20/03/1625/03/16

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