Title: Automatic shadow elimination in a high-density scene

Authors: Hocine Chebi; Dalila Acheli; Mohamed Kesraoui

Addresses: Faculty of Hydrocarbons and Chemistry, M'Hamed BOUGARA University of Boumerdés, Laboratory of Applied Automation, Avenue de l'Indépendance, 35000, Boumerdès, Algeria ' Faculty of Engineering, M'Hamed BOUGARA University of Boumerdés, Laboratory of Applied Automation, Avenue de l'Indépendance, 35000, Boumerdès, Algeria ' Faculty of Hydrocarbons and Chemistry, M'Hamed BOUGARA University of Boumerdés, Laboratory of Applied Automation, Avenue de l'Indépendance, 35000, Boumerdès, Algeria

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.

Keywords: shadow; high-density; automatic detection; video surveillance.

DOI: 10.1504/IJISDC.2018.097468

International Journal of Intelligent Systems Design and Computing, 2018 Vol.2 No.3/4, pp.224 - 237

Received: 23 Aug 2017
Accepted: 07 Sep 2018
Published online: 23 Jan 2019 *

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