A realtime human action recognition method based on single view key poses in sports video
A realtime human action recognition method based on single view key poses in sports video
- Author(s): Zeyu Liu ; Zhenjiang Miao ; Yuting Huo
- DOI: 10.1049/cp.2015.0941
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- Author(s): Zeyu Liu ; Zhenjiang Miao ; Yuting Huo Source: 6th International Conference on Wireless, Mobile and Multi-Media (ICWMMN 2015), 2015 page ()
- Conference: 6th International Conference on Wireless, Mobile and Multi-Media (ICWMMN 2015)
- DOI: 10.1049/cp.2015.0941
- ISBN: 978-1-78561-046-2
- Location: Beijing, China
- Conference date: 20-23 Nov. 2015
- Format: PDF
A fast and robust single-view action recognition system is needed in more and more applications, especially on mobile devices. In this paper, we propose a key pose classification based method for action recognition. Firstly, we use a fast feature extraction method to represent these key poses and use a fast boosting method for key pose classification. Secondly, we propose a fast recognition approach based on the results of classification and order constraint. Due to the quick feature extraction method and a fast and robust sequences recognition method, our system can implement real-time pose recognition on mobile devices. Our experiments have indicated that this method has a good performance on many videos in a wild scene.
Inspec keywords: image representation; image classification; real-time systems; image sequences; mobile computing; sport; feature extraction; pose estimation; video signal processing
Subjects: Humanities computing; Video signal processing; Image recognition
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