Actions speak louder than words: Searching human action video based on body movement

Yan Ching Lin*, Min Chun Hu, Wen-Huang Cheng, Yung Huan Hsieh, Hong Ming Chen

*Corresponding author for this work

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

Human action video search is a frequent demand in multimedia applications, and conventional video search schemes based on keywords usually fail to correctly find relevant videos due to noisy video tags. Observing the widespread use of Kinect-like depth cameras, we propose to search human action videos by directly performing the target action with body movements. Human actions are captured by Kinect and the recorded depth information is utilized to measure the similarity between the query action and each human action video in the database. We use representative depth descriptors without learning optimization to achieve real-time and promising performance as compatible as those of the leading methods based on color images and videos. Meanwhile, a large Depth-included Human Action video dataset, namely DHA, is collected to prove the effectiveness of the proposed video search system.

原文English
主出版物標題MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia
頁面1261-1262
頁數2
DOIs
出版狀態Published - 26 十二月 2012
事件20th ACM International Conference on Multimedia, MM 2012 - Nara, Japan
持續時間: 29 十月 20122 十一月 2012

出版系列

名字MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia

Conference

Conference20th ACM International Conference on Multimedia, MM 2012
國家Japan
城市Nara
期間29/10/122/11/12

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