An Algorithm for Moving Vehicle Detection Based on Traffic Video

Abstract:

Aiming at the defects and shortages of traditional moving vehicles detection algorithms, by the analysis and comparison of the existing detection algorithms, we propose an algorithm that combined with frames with symmetric difference and background difference to detect moving vehicle in this paper. First, two different difference images by using frames with symmetric difference and background difference are gained respectively and two binary images can be gained by the appropriate threshold, then the contour of moving vehicles can be extracted by applying OR operation in the two binary images. Finally, the precise moving vehicles will be gained by mathematic morphological methods. Experimental results show the algorithm used in this paper can detect the moving vehicles better than traditional moving vehicles detection algorithms.

• Periodical: Applied Mechanics and Materials (Volumes 278-280)
• Pages: 1292-1296
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.278-280.1292
• Online since: January 2013
• Authors: Shi Song Zhu, Min Gu, Jing Liu
• Keywords: Background Difference, Mathematic Morphology, Moving Vehicle Detection, Symmetric Difference, Traffic Video

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