Development of multiple human tracking technique under complex situations by integrating various models

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We propose a new method of multiple human tracking under the complex situations. By using color and range information acquired by stereo video cameras, stochastic models for human extraction and tracking are developed. Additionally, simulation model of pedestrian behavior is also developed based on a discrete choice model. According to the above models, we develop a method as a stochastic process, integrating them on the framework of general state space model. We apply the proposed method to the data acquired at the ticket gate of the railway station and confirm the high performance of the method.