Abstract
Vehicle tracking is a difficult part in intelligent traffic system. The images of vehicles on the streets, picked up from cameras, are usually in occlusion because of effecting outdoor environment such as lack light, weather, etc. Therefore, vehicle tracking is a challenging problem. This paper proposed a method for vehicle tracking in an outdoor environment. We use curvelet transform combined with object deformation of contour. The light of background may change from this frame to the other frame. The proposed algorithm has significantly improves the edge accuracy and reduces the wrong position of objects between the frames. For demonstrating the superiority of the proposed method, we have compared the results with the other methods.
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Binh, N.T. (2015). Vehicle Tracking in Outdoor Environment Based on Curvelet Domain. In: Vinh, P., Vassev, E., Hinchey, M. (eds) Nature of Computation and Communication. ICTCC 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 144. Springer, Cham. https://doi.org/10.1007/978-3-319-15392-6_34
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DOI: https://doi.org/10.1007/978-3-319-15392-6_34
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