DocumentCode :
2370684
Title :
Research on vehicle tracking algorithm using Contourlet transform
Author :
Wu, Jian ; Cui, Zhiming ; Zhao, Pengpeng ; Chen, Jianming
Author_Institution :
Inst. of Intell. Inf. Process. & Applic., Soochow Univ., Suzhou, China
fYear :
2011
fDate :
5-7 Oct. 2011
Firstpage :
1267
Lastpage :
1272
Abstract :
Vehicle tracking is a very important part of ITS and become a hot research field at home and abroad. In this paper, according to the multi-scales and multi-resolution analysis of Contourlet transform, put forward a video vehicle tracking algorithm based on the Contourlet transform. At first, according to the fixed characteristics of traffic video monitoring camera. we get the ideal vehicle target and the circum-rectangle with the method of reducing background, then, using Contourlet transform for the area of vehicle, we get the son of spectrum data in video vehicles. At last, realize video vehicle target tracking based on the vehicle image similarity measure and linear forecasting. Experiments show that this algorithm with higher tracking accuracy and better real-time.
Keywords :
image resolution; target tracking; traffic engineering computing; transforms; vehicles; video signal processing; Contourlet transform; ITS; linear forecasting; multiresolution analysis; multiscale analysis; traffic video monitoring camera; vehicle tracking algorithm; video vehicles; Feature extraction; Filter banks; Monitoring; Target tracking; Transforms; Vectors; Vehicles; Contourlet transform; motion prediction; texture feature; vehicle tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on
Conference_Location :
Washington, DC
ISSN :
2153-0009
Print_ISBN :
978-1-4577-2198-4
Type :
conf
DOI :
10.1109/ITSC.2011.6083054
Filename :
6083054
Link To Document :
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