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2 May 2006 Person tracking with a mobile robot using particle filters in complex environment
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Proceedings Volume 6042, ICMIT 2005: Control Systems and Robotics; 60423S (2006) https://doi.org/10.1117/12.664776
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China
Abstract
Based on a particle filter, a method that mobile robots can track a person in complex environment was presented. The problem of person following for mobile robot has been researched many different areas. The main issues of following a person are real time constraint, motion change of person during the tracking and occlusion with other objects. Using appearance-adaptive models in a particle filter, a robust visual tracking algorithm was realized. The appearance-adaptive model can handle occlusion with other people while the target is moving.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ho Sang Kwon, Young Joong Kim, and Myo Taeg Lim "Person tracking with a mobile robot using particle filters in complex environment", Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60423S (2 May 2006); https://doi.org/10.1117/12.664776
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