Title :
Research on Moving Vehicles Tracking Algorithm Based on Feature Points and AKF
Author :
Wang, Jinhua ; Li, Yu ; Ren, Chongyu ; Cao, Jie
Author_Institution :
Coll. of Electr. & Inf. Eng., Lanzhou Univ. of Technol., Lanzhou, China
Abstract :
In order to solve the problem of real-time factor and accuracy factor in video image tracking, we present a real-time tracking algorithm of moving vehicle based on feature points. We provide a simple and practical feature points matching algorithm using Adaptive Kalman Filter (AKF). The results of simulation experiments show that the algorithm performs well in fast tracking maneuvering target, which can not only describe the target accurately, but decrease the time of matching computation.
Keywords :
adaptive Kalman filters; image motion analysis; object detection; real-time systems; target tracking; vehicles; video signal processing; adaptive Kalman filter; feature points matching algorithm; moving vehicles tracking algorithm; real-time tracking algorithm; video image tracking; Acceleration; Adaptive filters; Automotive engineering; Educational institutions; Equations; Filtering algorithms; Kalman filters; Space technology; Target tracking; Vehicles;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5362536
