Color-based Vehicle Detection Tracking and Classification

Publication Date : 28/01/2021


Author(s) :

Habibu Rabiu.


Volume/Issue :
Volume 16
,
Issue 1
(01 - 2021)



Abstract :

Abstract -This paper investigates vehicle detection, tracking and classification. The detection stage is based on the background subtraction technique, where the background image is subtracted from the current frame. Pixel values greater than the set threshold are considered as part of the foreground. The tracking stage is accomplished using the Kalman filter, which predicts the current position of the vehicle using information of its prior positions. The tracked vehicle is then segmented at point where its color is most visible (point closest to the camera). A small patch is then extracted from the segmented vehicle and use as a color sample. At the final stage, the extracted patch is compared against the gallery to determine the color class of the vehicle. The experimental results show a promising trend in classifying vehicles based on their color with 100% accuracy in terms of classification.


No. of Downloads :

11


About BayeroJet

The new Bayerojet Journal is designed to be able to manage the increasing number of published articles. The new system will allow the publishers as well as the Bayerojet team to make publishing more efficient. If you wish to publish an article it will be very easy. All you have to do is to submit your paper online and wait to the review before it will be finally published. You can manage your articles and send new versions at any time. Browse through our page to find out more.