Vehicle Occlusion Detection and Segment Based on Windows

Chang Zhen Xiong; Lin Li

doi:10.4028/www.scientific.net/AMR.433-440.3186

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440Vehicle Occlusion Detection and Segment Based on...

Vehicle Occlusion Detection and Segment Based on Windows

Abstract:

This paper proposes a method of vehicle occlusion detection and segment based on windows of the vehicle, which is used in high-definition (HD) video. Firstly, do the vehicle position after extract the background using the method of continuous frame differential method. Then draw brightness curve of the positioning region and set the threshold to segment the region of windows. From the number of windows we can judge whether vehicle occlusion is happen and do the next step. Experiments show that this method is simple and effective, with less computation, and it can divide occluded vehicles effectively, and satisfy the requirements of real-time processing.

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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

3186-3191

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.3186

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Online since:

January 2012

Authors:

Chang Zhen Xiong, Lin Li

Keywords:

Brightness Curve, ITS, Occlusion, Vehicle Detection

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