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http://dx.doi.org/10.5573/ieie.2015.52.5.136

Vehicle Recognition using Non-negative Tensor Factorization  

Ban, Jae Min (Dept. of Information and Telecommunication Eng., Incheon National University)
Kang, Hyunchul (Dept. of Information and Telecommunication Eng., Incheon National University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.52, no.5, 2015 , pp. 136-146 More about this Journal
Abstract
The active control of a vehicle based on vehicle recognition is one of key technologies for the intelligent vehicle, and the part-based image representation is necessary to recognize vehicles with only partial shapes of vehicles especially in urban scene where occlusions frequently occur. In this paper, we implemented a part-based image representation scheme using non-negative tensor factorization(NTF) and realized a robust vehicle recognition system using the NTF feature. The result shows that the proposed method gives more intuitive part-based representation and more robust recognition in urban scene.
Keywords
non-negative matrix factorization; non-negative tensor factorization; part-based representation; vehicle recognition; urban scene;
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