@article{(Open Science Index):https://publications.waset.org/pdf/9997770,
	  title     = {Vehicle Type Classification with Geometric and Appearance Attributes},
	  author    = {Ghada S. Moussa},
	  country	= {},
	  institution	= {},
	  abstract     = {With the increase in population along with economic prosperity, an enormous increase in the number and types of vehicles on the roads occurred. This fact brings a growing need for efficiently yet effectively classifying vehicles into their corresponding categories, which play a crucial role in many areas of infrastructure planning and traffic management.

This paper presents two vehicle-type classification approaches; 1) geometric-based and 2) appearance-based. The two classification approaches are used for two tasks: multi-class and intra-class vehicle classifications. For the evaluation purpose of the proposed classification approaches’ performance and the identification of the most effective yet efficient one, 10-fold cross-validation technique is used with a large dataset. The proposed approaches are distinguishable from previous research on vehicle classification in which: i) they consider both geometric and appearance attributes of vehicles, and ii) they perform remarkably well in both multi-class and intra-class vehicle classification. Experimental results exhibit promising potentials implementations of the proposed vehicle classification approaches into real-world applications.
},
	    journal   = {International Journal of Architectural and Environmental Engineering},
	  volume    = {8},
	  number    = {3},
	  year      = {2014},
	  pages     = {277 - 282},
	  ee        = {https://publications.waset.org/pdf/9997770},
	  url   	= {https://publications.waset.org/vol/87},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 87, 2014},
	}