Self-Similarities in Difference Images : A New Cue for Single-Person Oriented Action Recognition

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Author(s)

    • LU Guoliang
    • Laboratory of Pattern Recognition and Machine Learning, Graduate School of Information Science and Technology, Hokkaido University
    • KUDO Mineichi
    • Laboratory of Pattern Recognition and Machine Learning, Graduate School of Information Science and Technology, Hokkaido University

Abstract

Temporal Self-Similarity Matrix (SSM) based action recognition is one of the important approaches of single-person oriented action analysis in computer vision. In this study, we propose a new kind of SSM and a fast computation method. The computation method does not require time-consuming pre-processing to find bounding boxes of the human body, instead it processes difference images to obtain action patterns which can be done very quickly. The proposed SSM is experimentally confirmed to have high power/capacity to achieve a better classification performance than four typical kinds of SSMs.

Journal

  • IEICE Transactions on Information and Systems

    IEICE Transactions on Information and Systems 96(5), 1238-1242, 2013-05-01

    The Institute of Electronics, Information and Communication Engineers

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