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