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《Journal of Zhejiang University(Engineering Science)》 2010-01
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Vehicle detection based on shape priors and level set

ZHAO Lu,YU Hui-min(Department of Information Science and Electronic Engineering,Zhejiang University,Hangzhou 310027,China)  
A moving vehicle detection method based on the prior shape knowledge and active contour method was proposed for the application of traffic video detection.First,the shadow was eliminated for obtaining the initial contour of the vehicle using the color and edge information.Then,an implicit shape model with level set signed distant image was built to improve the accuracy of vehicle contour pick-up,and an active contour energy function with the restriction of the existing shape priors was constructed.The obtained vehicle contour was set to initial contour of the vehicle segmentation evolvement contour,and then the minimal value of the energy function could be found by variational method.The precise contour of the vehicle was obtained by applying the shape alignment and level set method to evolving the initial contour.Experimental results of real traffic sequences proved the good effectiveness of the proposed method.
【Fund】: 国家自然科学基金资助项目(60872069);; 航天基金资助项目
【CateGory Index】: TP391.41
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【Citations】
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【Co-citations】
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1 WANG Sheng1,XIE Li1,LIU Jun21.Department of Information and Electronics Engineering , Zhejiang University, Zhejiang Provincial Key Laboratory of Information Network Technology,Hangzhou 310027,China;2.State Specialized Laboratory of Biomedical Sensors, Zhejiang University, Hangzhou 310027,China;Research on Geodesic Active Contour Model Based on Level Set[J];Chinese Journal of Sensors and Actuators;2008-09
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9 CHEN Zhi-bin1,2,3,QIU Tian-shuang1,SU Ruan3(1.Department of Electronic Engineering,Dalian University of Technology,Dalian,Liaoning 116024,China; 2.School of Electronic and Information Engineering,University of Science and Technology Liaoning,Anshan,Liaoning 114044,China;3.CReSTIC,Université de Reims Champagne Ardenne,Troyes Cedex10026,France);FCM and Level Set Based Segmentation Method for Brain MR Images[J];Acta Electronica Sinica;2008-09
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1 Guiyun Ye1 Changzheng Liu2 1 College of Electrical and Information Engineering, Heilongjiang Institute of Science and Technology Harbin, Hei Longjiang, 150027, P.R.China 2College of Computer Science and Technology, Harbin University of Science and Technology Harbin, Hei Longjiang, 150080, P.R.China;Medical Image Segmentation by Geodesic active contour methods[A];[C];2007
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