Research of Dynamic Target Tracking Algorithm

Article Preview

Abstract:

An improved correlation matching algorithm is proposed in order to overcome some shortcomings of detecting the position of object accurately. A tracking algorithm with normalized cross correlation is introduced. In order to enhance the match speed, we have adopted pyramid search algorithm. The experimental results show that the algorithm has characteristics including automatic recognition of the object; permitting tracking and prediction when the object become shaded; the algorithm makes adaptive decision of varied object during the process of tracking.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3601-3604

Citation:

Online since:

October 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] ZHAO Lei,CHEN Wan-zhong and HAN Shuang-shuang, An improved algorithm for tracking and recording moving targets[J]. Transactions on Intelligent System, Vol 2 (2008), pp.145-149.

Google Scholar

[2] YU Wu-long, CHEN Lun-hai and SU Bing-hua, Image Processing Unit Design of Moving Target Tracking System[J]. Instrument Technique and Sensor(2012), pp.40-42.

Google Scholar

[3] W. Choi, S. Savarese, Multiple target tracking in world coordinate with single, minimally calibrated camera. ECCV 2010, (2010), p.553–567.

DOI: 10.1007/978-3-642-15561-1_40

Google Scholar

[4] A.L. Gilbert, etc. A Real-Time Video Tracking System. IEEE Trans on PAMI, (1980), pp.47-56.

Google Scholar

[5] WANG Hui-lan, LIN Hang-fei and LI Pei-long, Real-time Detection and Tracking System of Moving Objects on Matlab. Computer Security(2012), pp.17-20.

Google Scholar