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This paper proposes a sequential multi-decay motion history image matching with the aim of analyzing human motions captured in actual game situations without subjecting people to any intrusive measures. The motion history image (MHI) is a wellknown motion representation method, which can be used without foreground detection. In MHIs, pixels on which motion is detected have large pixel values. As time elapses following the latest motion detection, the values decrease according to a decay parameter. Two improvements were made to enable MHI-based template matching to be applied to motion analysis; introducing a template MHI sequence matching process that enables analysis of the temporal development of motions and extending MHIs to include multiple decay parameters. Due to the MHI sequence, a reference motion includes target motions of various speeds. Since the appropriate decay parameter varies with motion speed, no one predefined decay parameter can be the best one. These improvements enable our method to effectively analyze human motions in actual game situations. Experiments carried out indoors with capturing of 3D motion data and outdoors under real games situations verified the effectiveness of the proposed method.

Human Motion Analysis under Actual Sports Game Situations - Sequential Multi-decay Motion History Image Matching