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Because a pose is implemented with static configuration of bodily joints expressing an abstract meaning of human intention, a gesture can be thought as a sequential combination of specific poses of human body. Therefore we can understand the meaning of a gesture if we can analyze the arrangement of the poses in spatiotemporal space. In this paper we propose a novel gesture recognition algorithm in which a pose is decomposed into micro-poses that are constructed with a small number of bodily joints. A micro-pose is a smallest unit of joints which can include a physical mean of body. To obtain the location of body joint MS Kinect is used and the information extracted from the micro-poses is finally applied to code matrix as the code book of the Bag-of-Words to understand the meaning of the gesture.

Micro-pose for Gesture Recognition with Bodily-Pose Decomposition