Automatic shadow elimination in a high-density scene
by Hocine Chebi; Dalila Acheli; Mohamed Kesraoui
International Journal of Intelligent Systems Design and Computing (IJISDC), Vol. 2, No. 3/4, 2018

Abstract: This paper presents an automatic system for monitoring high-density images to estimate parameters from video sequences using a single camera. Unlike traditional methods, which can detect and monitor this behaviour under the right conditions, the proposed method has a good ability to segment more specific objects (vehicles and people) by introducing a new shadow elimination algorithm. In addition, the proposed system may well address the problem of vehicle occlusions caused by shadows, which often results in failure of vehicle counting and grading. This problem is solved by a new linear shadow algorithm that uses simple tools to eliminate all undesirable shadows. Therefore, an automatic algorithm for detecting shadows is also proposed. The experimental results show that the proposed method is more robust, more precise and more powerful than other traditional methods.

Online publication date: Wed, 23-Jan-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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 Intelligent Systems Design and Computing (IJISDC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your 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 subs@inderscience.com