DocumentCode :
538678
Title :
An Optimized Target Tracing Algorithm for Intelligent Robot
Author :
Benjie, Wei ; Xiaokun, Zhang ; Shan, Li ; Xuejian, Teng
Author_Institution :
Center for Space Sci. & Appl. Res., Chinese Acad. of Sci., Beijing, China
Volume :
1
fYear :
2010
fDate :
18-20 Dec. 2010
Firstpage :
214
Lastpage :
218
Abstract :
In this paper we study on target tracing system for intelligent robot and propose an optimized algorithm to track the objects such as human body, which needs to detect the moving targets from the background in image sequence, and trace them by controlling theory and image processing. In the first stage, we detect the changing regions and background area through GMM(Gaussian Mixture Model). Based on the results of the first stage, we adopt Kalman filter algorithm united with Mean-Shift to keep track of the moving targets. At last, the experimental results show that our method is robust and efficient, it has theoretical significance and practical value.
Keywords :
Gaussian processes; Kalman filters; image motion analysis; image sequences; intelligent robots; target tracking; Gaussian mixture model; Kalman filter algorithm; image sequence; intelligent robot; mean-shift algorithm; optimized target tracing algorithm; GMM; Kalman filter; Mean-Shift; moveing targets; track;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2010 International Conference on
Conference_Location :
ChangSha
Print_ISBN :
978-0-7695-4286-7
Type :
conf
DOI :
10.1109/ICDMA.2010.219
Filename :
5701136
Link To Document :
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