Shin-ichi Sugakawa

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This paper presents a monocular system to classify human body postures from images. Human silhouette image is extracted from image by background subtraction using statistical background modeling and pixel classification. The feature vector that inputs to the human posture classifier based on self-organizing map (SOM) is composed using both horizontal and(More)
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