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Performance comparison of leg detection methods using laser range finder
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作者 yoonchang Sung Hoyeon Kim +2 位作者 yoonkyu yoo Jooyoung Park Woojin Chung 《Journal of Measurement Science and Instrumentation》 CAS 2012年第3期278-280,共3页
Human interaction becomes an important issue in the field of mobile robotics. To achieve humanfriendly naviga tion, the robot needs to recognize human on cluttered backgrounds, and this can be fulfilled by the detecti... Human interaction becomes an important issue in the field of mobile robotics. To achieve humanfriendly naviga tion, the robot needs to recognize human on cluttered backgrounds, and this can be fulfilled by the detection of human legs. The detection of human legs is advantageous because it enables detecting environmental obstacles at such heights. In this pa per, we compared the performance of an algorithm using a single laser range finder(LRF) proposed in Ref. L 1 ] with that of wellknown feature extraction approaches bounding box and circle fitting proposed in Ref. [ 2 ] by using the same laser scanned image. 展开更多
关键词 human-robot interaction leg detection feature extraction
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