International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 6, No. 4, 8 Mar. 2014
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Comparative Analysis of Vehicle Make and Model Recognition Techniques
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Author(s)
Index Terms
Make, Model Recognition (MMR), Vehicle Make, Model Recognition (VMMR)
Abstract
Vehicle Make and Model Recognition (VMMR) has emerged as a significant element of vision based systems because of its application in access control systems, traffic control and monitoring systems, security systems and surveillance systems, etc. So far a number of techniques have been developed for vehicle recognition. Each technique follows different methodology and classification approaches. The evaluation results highlight the recognition technique with highest accuracy level. In this paper we have pointed out the working of various vehicle make and model recognition techniques and compare these techniques on the basis of methodology, principles, classification approach, classifier and level of recognition After comparing these factors we concluded that Locally Normalized Harris Corner Strengths (LHNS) performs best as compared to other techniques. LHNS uses Bayes and K-NN classification approaches for vehicle classification. It extracts information from frontal view of vehicles for vehicle make and model recognition.
Cite This Paper
Faiza Ayub Syed, Malik Usman Dilawar, Ali Javed,"Comparative Analysis of Vehicle Make and Model Recognition Techniques", IJIGSP, vol.6, no.4, pp. 60-67, 2014. DOI: 10.5815/ijigsp.2014.04.08
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