A Novel Vehicle Type Recognition Based on Template Matching

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Abstract:

In order to improve the real-time performance and accuracy of the vehicle type recognition in real traffic scenes, a novel method of vehicle type recognition based on template matching is proposed. First, points are adopted with non-uniform sampling based on salient regions in contours of vehicle. Then, parallel template matching is introduced to realize the rapid vehicle type recognition through lookup tables. The results show that the algorithm can recognize vehicle type in traffic scenes efficiently.

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Periodical:

Advanced Materials Research (Volumes 945-949)

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1856-1860

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] J. Li, W. Zhao, H. Guo: Vehicle Type Recognition Based on Harris Corner Detector. International Conference on Transportation Engineering, ASCE(2009).

DOI: 10.1061/41039(345)547

Google Scholar

[2] X. Clady, P. Negrl, M. Milgram: Springer Berlin Heidelberg(2008).

Google Scholar

[3] P. Negri, X. Clady, M. Milgram: An Oriented-Contour Point Based Voting Algorithm for Vehicle Type Classification: ICPR (2006).

DOI: 10.1109/icpr.2006.264

Google Scholar

[4] A. Psyllos, C.N. Anagnostopooulos, E. Kayafas: submitted to Journal of Computer Standards & Interfaces (2011).

Google Scholar

[5] S. Hintertoisser, C. Cagniart, S. Ilic: submitted to Journal of Pattern Analysis and Machine Intelligence (2012).

Google Scholar