Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/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.
},
  {International Journal of Architectural and Environmental Engineering },  volume    = {8},
  number    = {3},
  year      = {2014},
  pages     = {277 - 282},
  ee        = {http://waset.org/publications/9997770},
  url       = {http://waset.org/Publications?p=87},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 87, 2014},
}