Title :
Research of the Improved Camshift Tracking Algorithm
Author :
Liu, Xia ; Chu, Hongxia ; Li, Pingjun
Author_Institution :
Harbin Eng. Univ, Harbin
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;
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
DOI :
10.1109/ICMA.2007.4303678