Yoonchang Sung, Woojin Chung
School of Mechanical Engineering, Korea University, Seoul 136-713, Korea
Abstract： In the field of mobile robotics, human tracking has emerged as an imp ortant objective for facilitating human-robot interaction. In this paper, we pro pose a particle-filter-based walking prediction model that will address an occlu sion situation. Since the target being tracked is a human leg, a motion model fo r a leg is required. The validity of the proposed model is verified experimental ly.
Key words： human-following; particle filter; motion model
CLD number： TP242.6 Document code： A
Article ID： 1674-8042(2013)03-0263-04 doi： 10.3969/j.issn.1674-8042.2013.03.0 13
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