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

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概要

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• 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.

著者

• 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

関連論文

• Self-Similarities in Difference Images: A New Cue for Single-Person Oriented Action Recognition
• Selection of Characteristic Frames in Video for Efficient Action Recognition

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