Title :
An Improved Image Matching Target Tracking Algorithm
Author :
Xin, Ge ; Hong, Xie ; Yuan, Liu
Author_Institution :
Coll. of Inf. Eng., Jiangnan Univ., Wu Xi, China
Abstract :
The idea of the adaptive image matching tracking algorithm, then with position estimation and image template renewal and could effectively cope with complicated nonlinear and non-Gaussian problems. The adaptive image matching target tracking algorithm base on the matching tracking is presented and the performance of the algorithm is analyzed. The results show that Adaptive particle tracking algorithm inherited the relevant practical tracking visual characteristics, the part occlusion is effectively solved and higher stability of the match tracking.
Keywords :
image matching; target tracking; adaptive image matching target tracking algorithm; adaptive particle tracking algorithm; image template renewal; nonGaussian problems; nonlinear problems; Educational institutions; Image matching; Image sequences; Military computing; Nonlinear distortion; Nonlinear dynamical systems; Particle tracking; Predictive models; State estimation; Target tracking; adaptive matching tracking; hausdorff distance; image matching; particle estimation;
Conference_Titel :
Web Information Systems and Applications Conference, 2009. WISA 2009. Sixth
Conference_Location :
Xuzhou, Jiangsu
Print_ISBN :
978-0-7695-3874-7
DOI :
10.1109/WISA.2009.27