A Multi-Vehicle Tracking Algorithm Based on QPSO Clustering Algorithm and Particle Position Matching Template

Abstract:

In this paper,we introduce a new tracking algorithm to detect and track multiple Vehicles in highway or special area. For the traditional vehicle tracking algorithm that can not be real-time tracking of vehicles or appear to tracking chaotic situation when most of the scene is in motion and component parts of vehicles are occluded. To overcome this problem, we use a background image separation method to separate the moving vehicle and the background and introduce a QPSO clustering algorithm for gathering together color particles of vehicles moving target,finally we through the particle position matching template to achieve target matching tracking.In an experimental evaluation, we show that algorithm through processing the monitoring image of moving vehicles to show tracking information of moving vehicle in the real-time.

• Periodical: Advanced Materials Research (Volume 709)
• Pages: 413-416
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.709.413
• Online since: June 2013
• Authors: Shao Jiang Liu, Wei Jian Mo, Zhi Ping Wan
• Keywords: Background Image Separation Method, Multi-Vehicle Tracking, Particle Position Matching Template, QPSO Clustering Algorithm

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