Research Article | OPEN ACCESS
A Novel Method to Handle the Partial Occlusion and Shadow Detection of Highway Vehicles
1. 2Raad Ahmed Hadi, 1Ghazali Sulong and 3Loay Edwar George
1UTM-IRDA Media and Games Innovation Centre of Excellence (MaGIC-X), Faculty of
Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
2Department of Software and Networking Engineering, College of Engineering, Iraqi University
3Department of Computer Science, College of Science, Baghdad University, Baghdad, Iraq
Research Journal of Applied Sciences, Engineering and Technology 2015 4:245-256
Received: July 18, 2014 | Accepted: August 26, 2014 | Published: February 05, 2015
Abstract
This study proposes a novel method for resolving the partial occlusion and shadow of moving vehicles seen in a sequence of highway traffic images captured from a single roadside fixed camera position. The proposed method detects the shadow regions of foreground/moving vehicles in any direction with no human intervention. Also, it handles the partially occluded vehicles in three different states on the highway traffic scene. The moving vehicles are detected using the background subtraction method followed by using the dilation and erosion operations. In this step, every segmented moving vehicle has an extracted Feature Vector (FV) which is used to initialize the Shadow Searching Window (SSW). Then, a chromatic based analysis technique uses the semi mean value of RGB colour space of moving vehicle region pixels as a threshold value to discriminate the shadow of moving vehicles despite the direction of movement. Finally, the partially occluded vehicles are handled using a new training procedure based on previous estimations to calculate the new moving vehicle sizes. These sizes are employed to separate and highlight the partially occluded vehicles by drawing the bounding boxes for each moving vehicle.
Keywords:
Background subtraction , occlusion handling , shadow , vehicle sizes,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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