Multiple Class Image-based Vehicle Classification
using Soft Computing Algorithms
Sanjivani
Shantaiya1, Kesari Verma2, Kamal Mehta3
1 Department of Computer Science and Engineering, CSV Techical
University, India
2 Department of Computer Application, National Institute of
Technology, India
3Department of Computer Science and Engineering, Nirma
Univesity, India
Abstract: Automatic vehicle classification has expanded into a
momentous topic of study due to its importance in autonomous navigation,
traffic analysis, surveillance security systems, and transportation management.
This paper presents multiclass image based classification of vehicles like
bikes and cars using soft computing algorithms like artificial neural network
decision tree and support vector machine as well. The objective of this paper
is to automate the classification of vehicles from images. A good set of
descriptor features that capture the most important properties of an object are
used to identify the object uniquely. Different views of vehicle images are
considered as important factor during classification process as six multiple
class labels are created accordingly.
Keywords: Detection,
classification, artificial neural network, decision tree, support vector
machine.
Received
April 25, 2014; accepted June 7, 2015