Vehicle Statistics and Retrograde Detection Based on Characteristic Analysis

Abstract:

Vehicle detection in the traffic monitoring system has been widely studied in recent years. This paper presents a vehicle detection method based on different object motion characteristics to track the moving vehicles. Firstly, we use the frame different method to detect the moving objects. Secondly, we do binarization and filtering processing with the adaptive threshold segmentation technique to extract the moving vehicles in the traffic video. Then we determine centroid displacement to recognize the vehicle motion characteristics for retrograde judgment. Finally, we draw the vehicle trajectory and make the vehicle motion statistics. Experiment results show that the method can real-time track the moving vehicles and accurately get the vehicle retrograde detection.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 2672-2676
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.2672
• Online since: May 2014
• Authors: Qing Ye*, Li Zhang, Yong Mei Zhang
• Keywords: Centroid Displacement, Moving Object Detection, Retrograde Judgment, Vehicle Trajectory

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