Detection and Classification of Vehicles on Curved Roads
Venugopala P. S.1, Ashwini B.2
1Venugopala P. S, Associate Professor, Dept of CSE, NMAM Institute of Technology, Nitte (Affiliated to V.T.U., Belagavi).
2Ashwini B, Associate Professor, Dept of ISE, NMAM Institute of Technology, Nitte (Affiliated to V.T.U., Belagavi).
Manuscript received on 19 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 29 June 2020 | PP: 152-156 | Volume-8 Issue-10S2 August 2019 | Retrieval Number: J102808810S19/2019©BEIESP | DOI: 10.35940/ijitee.J1028.08810S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Detection of a vehicle is a very important aspect for traffic monitoring. It is based on the concept of moving object detection. Classifying the detected object as vehicle and class of vehicle is also having application in various application domains. This paper aims at providing an application of vehicle detection and classification concept to detect vehicles along curved roads in Indian scenarios. The main purpose is to ensure safety in such roads. Gaussian mixture model and blob analysis are the methods applied for the detection of vehicles. Morphological operations are used to eliminate noise. The moving vehicles are detected and the class of the vehicle is identified.
Keywords: Vehicle Detection, Classification, Counting, Gaussian Mixture Model, Blob Analysis.
Scope of the Article: Classification