DocumentCode :
504805
Title :
A method of object tracking based on particle filter and optical flow
Author :
Kodama, Takahiro ; Yamaguchi, Teruo ; Harada, Hiroshi
Author_Institution :
Grad. Sch. of Sci. & Technol., Kumamoto Univ., Kumamoto, Japan
fYear :
2009
fDate :
18-21 Aug. 2009
Firstpage :
2685
Lastpage :
2690
Abstract :
In this paper, we propose the technique for tracking the velocity of objects that combines the particle filter with optical flow. If color of the target or feature of its shape is unknown, some conventional particle filters are hard to apply because the prediction step of them are based on probabilistic theory. This problem can be solved by estimation method of optical flow. Experimental results show that unstructured objects can be tracked.
Keywords :
image sequences; object detection; probability; object tracking; optical flow; particle filter; prediction step; probabilistic theory; Electronic mail; Equations; Humans; Image motion analysis; Optical filters; Optical sensors; Particle filters; Particle tracking; Shape; Target tracking; Objects tracking; Optical flow; Particle filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3
Type :
conf
Filename :
5334716
Link To Document :
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