›› 2012, Vol. ›› Issue (03): 754-758.

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New space-time interest point detection scheme based on cumulative entropy difference

YIN Jian-qin1, WANG Jing-jing2, LI Jin-ping1   

  1. 1. Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan 250022, China;
    2. College of Physics and Electronics, Shandong Normal University, Jinan 250014, China
  • Received:2011-01-11 Online:2012-05-01

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Abstract: A new scheme to detect space-time interest points based on cumulative entropy difference is proposed for human action recognition and video analysis. First, periodic space-time features are detected. Second, the concept of cumulative entropy difference is put forward as the criterion to evaluate the interest points. Third, the points with high cumulative entropy are selected as the final key points. Finally, c-means cluster analysis is applied to find the features, and the prototype of the key video is obtained. The video is converted to the feature vector presented by the prototype; then the video classification is conducted. Experimental results show that the cumulative entropy difference evaluation can effectively remove the noise cuboids, and the method based on the evaluation can realize human action analysis and facial expression recognition.

Key words: information processing, space-time interest points, entropy, action recognition, video analysis

CLC Number: 

  • TN911.73
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