DocumentCode
2062750
Title
Research on Moving Vehicle Detection in the Presence of Occlusion
Author
Yue, Hengjun ; Wu, Jian ; Cao, Yanyan ; Cui, Zhiming
Author_Institution
Inst. of Intell. Inf. Process. & Applic., Soochow Univ., Suzhou, China
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
514
Lastpage
517
Abstract
Occlusion is an important problem of the moving target detection. This paper proposed a new method of vehicle detection according to the deficiencies of common vehicle detection methods. Firstly, the background is modeled through the improved histogram-mean model to extract more accurate background model and update in real-time; then we obtained the background through background subtraction and supplement edge information; at last get the complete foreground information of vehicle by the morphological to denoise and fill the empty positions of windows. Based on the occlusion of target in the foreground, this paper presents an effective method to obtain the accurate vehicles using adhesion point detection. The experimental results show that this method can accurately detect various types of vehicles, the computational complexity is low, be able to extract traffic information in real-time, and solved the problem of vehicle occlusion.
Keywords
computational complexity; hidden feature removal; image denoising; image morphing; object detection; traffic engineering computing; background subtraction; computational complexity; foreground information; histogram mean model; moving vehicle detection; supplement edge information; traffic information extraction; vehicle occlusion; Computational modeling; Data mining; Histograms; Pixel; Real time systems; Vehicle detection; Vehicles; Histogram-Mean Model; Occlusion; Vehicle Detection; Window fill;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing and Applications to Business Engineering and Science (DCABES), 2010 Ninth International Symposium on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-7539-1
Type
conf
DOI
10.1109/DCABES.2010.110
Filename
5571575
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