Automated multimodal background detection and shadow removal process using robust principal fuzzy gradient partial equation methods in intelligent transportation systems Online publication date: Sat, 15-Sep-2018
by P. Mohammed Shakeel; N. Arunkumar; Enas Abdulhay
International Journal of Heavy Vehicle Systems (IJHVS), Vol. 25, No. 3/4, 2018
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.
Online publication date: Sat, 15-Sep-2018
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Heavy Vehicle Systems (IJHVS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com