Recognition of human motion behaviors using multiple omni-directional vision sensors

In order to obtain flexibility of recognition system of human motion behaviors, omni-directional vision sensors are used for both tracking humans and getting multiple. views of different directions that allows human to move with natural behavior in large area. First, a vision-based aspect model is proposed which realize the recognition independent of the human-direction. It contains feature vector sequences that were taken from all direction around the human. Next, the authors´ appearance-based feature extraction method is demonstrated to be useful for whole body motion recognition. A new technique, spatio-temporal continuous dynamic programming, allows a human to rotate even when he is doing a motion behavior