DocumentCode :
2989866
Title :
Multiple Moving Targets Tracking Based on the Video
Author :
Li, Yucheng ; Wang, Fenyan
Author_Institution :
Dept. of Autom., North China Univ. of Tech., Beijing, China
fYear :
2009
fDate :
18-20 Jan. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Because when moving objects are tracked by mean-shift algorithm, the starting position of target in the current frame starts at the center of the target in the previous frame, so the accuracy of vehicle tracking is not too high. In order to overcome this shortcoming, the mask-based mean-shift algorithm is proposed in the paper. The accuracy of target tracking can be improved by forecasting its starting position. Experiments verify that the accuracy of vehicle tracking is improved by using the algorithm and that the problem of partial occlusion could be resolved.
Keywords :
Gaussian processes; image sequences; target tracking; vehicles; video signal processing; Bhattacharyya coefficient; Gaussian mixture model; image sequence; mask-based mean-shift algorithm; multiple moving targets tracking; vehicle tracking; Automation; Background noise; Change detection algorithms; Gaussian noise; Image edge detection; Image sequences; Object detection; Pixel; Target tracking; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5272-9
Type :
conf
DOI :
10.1109/CNMT.2009.5374720
Filename :
5374720
Link To Document :
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