Translated Title
The Video Vehicle Detection Based on Improved Background Difference Method
Translated Abstract
The collection of real-time traffic data plays a critical role in the intelligent transport system, and video-based detection is an important part in traveler information systems. Background difference method has become common means in real-time mo?tion detection because of its flexibility and veracity. Traditional background difference method is mainly based on 2-dimensional image processing, especially on image division and vehicle tracking. Improved the traditional background difference method, an al?gorithm of vehicle detection which is based on virtual frame is proposed in the paper. The main idea of this algorithm is based on the lane, each lane can have two virtual-frame to detect its traffic parameters. Each virtual-frame ’s output signals mainly derive from the background difference. This method is only processing small area within virtual-frame and avoiding vehicle tracking in 2-dimensional image, hence the time cost of calculation and the computation burthen is reduced. The experiment tells us that the speed of the algorithm is 25 fps, the precision is about 88%.
Translated Keyword
background difference method
virtual frame
video vehicle detection
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WF:perioarticaldnzsyjs-itrzyksb201521063
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