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Human Tracking Based on MultiFeature for Intelligent Robot Under the CTF Locating Strategy |
JIA Songmin1,WANG Shuang1,WANG Lijia1,2,LI Xiuzhi1 |
(1. College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China; 2. Department of Information Engineering and Automation, Hebei College of Industry and Technology, Shijiazhuang 050000, China) |
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Abstract To realize a human tracking task in a cluttered environment, a method of multifeature based human tracking under the CTF(coarsetofine) locating strategy was proposed. The proposed method located the target from a RFID system coarsely. Then, the silhouette of the headshoulder, the cloth color and motion feature were extracted to locate the target accurately by using the processing techniques including adaptive template matching algorithm, improved Camshift and Extended Kalman Filter. At last, an intelligent gear shift controller based on fuzzy rules considering the motion state of the target and the robot was utilized to drive the robot. The experimental results show that the presented method can keep the robot in a suitable distance from the target and handle the problem of occlusion, a sudden turn, and complicated background.
Key words:
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Received: 02 July 2013
Published: 28 July 2014
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