DocumentCode
3403611
Title
Research of the Improved Camshift Tracking Algorithm
Author
Liu, Xia ; Chu, Hongxia ; Li, Pingjun
Author_Institution
Harbin Eng. Univ, Harbin
fYear
2007
fDate
5-8 Aug. 2007
Firstpage
968
Lastpage
972
Abstract
In this paper it will introduce the improved Camshift algorithm based on the Kalman filter, which is applied to track a moving target. Improved Camshift algorithm is a algorithm that H, S and V components space is used to track a moving target in HSV space. The next position of the moving object is estimated by the Kalman. According to H and S and V, it can be appropriate to determine the track of moving target. The algorithm effectively overcomes the shortcoming of the traditional Camshift algorithm. For example, it is easy to solve the divergence problem during the tracking. Finally, the usefulness of algorithm is validated by experiment.
Keywords
Kalman filters; filtering theory; target tracking; Camshift tracking algorithm; Kalman filter; divergence problem; Automation; Computer science; Educational institutions; Image processing; Kalman filters; Mechatronics; Noise measurement; Predictive models; Space technology; Target tracking; Camshift algorithm; HSV space; Moving target;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-0828-3
Electronic_ISBN
978-1-4244-0828-3
Type
conf
DOI
10.1109/ICMA.2007.4303678
Filename
4303678
Link To Document