Title: Automated multimodal background detection and shadow removal process using robust principal fuzzy gradient partial equation methods in intelligent transportation systems

Authors: P. Mohammed Shakeel; N. Arunkumar; Enas Abdulhay

Addresses: Department of Computer Science and Engineering, NSN College of Engineering, 639003, India ' SASTRA University, Thanjavur, India ' Department of Biomedical Engineering, Jordan University of Science and Technology, Jordan

Abstract: The continuous developments of the computer technologies in the intelligent transportation systems (ITS) place an important role in the various applications such as vehicle detection, traffic control detection and so on. Hence, in this paper we use the robust principal fuzzy subtraction method and gradient partial equation method (RPFGPE) for investigating the multi-modal background detection-subtraction with illumination changes and cast shadow removal method to effectively recognise the vehicle from the video footage. These methods analyse each and every pixel present in the video frame images while analysing the background as well as cast shadow. The effectiveness of the proposed system is evaluated with the help of the experimental results which is compared with the other methods for background subtraction, cast shadow removal with different illumination changes.

Keywords: ITS; intelligent transportation system; multimodal background subtraction; cast shadow removal; illumination changes; robust principal fuzzy subtraction method; gradient partial equation method.

DOI: 10.1504/IJHVS.2018.094824

International Journal of Heavy Vehicle Systems, 2018 Vol.25 No.3/4, pp.271 - 285

Received: 02 May 2017
Accepted: 27 Jun 2017

Published online: 24 Sep 2018 *

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