Development of real-time high-level integrated vision systems and their application to markerless posture recognition

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We proposed a face/arm posture recognition algorithm inspired by the brain visual information processing, and developed a system combining dedicated integrated circuits for real-time operation of the algorithm. As one of the brain primary visual information processing models, Gabor filtering, which extracts features of local image spatial frequencies, was effectively applied to stereo vision and moving detection based on biological motion. We also developed hardware/software integrated systems such as a real-time subjective-contour generation system using an integrated circuit that performs anisotropic diffusion of pixel states.