一种基于改进的GVFSnake模型的车辆跟踪算法<sup>*</sup>

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Abstract A vehicle tracking algorithm based on modified Gradient Vector Flow (GVF)Snake model is proposed. In this algorithm, the original contours of vehicles are automatically acquired by using the framedifference method. The outline of vehicles can be obtained accurately from video stream by means of the modified GVFSnake model. To Compute fast, the modified GVFSnake model adopts the greedy algorithm to control the points according to the distances among them so as to adapt to the change of vehicle targets. Thus, the forecast algorithm is applied to track vehicles. Experimental results testify the effectiveness of the proposed algorithm.

Key words： Vehicle Tracking Algorithm Gradient Vector Flow (GVF)Snake Model Greedy Algorithm Forecast Algorithm

Received: 28 April 2006

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TP391.4

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	Articles by authors
	ZHANG Hui
	DONG YuNing
	XIA Yang

Cite this article:

ZHANG Hui,DONG YuNing,XIA Yang. Vehicle Tracking Algorithm Based on Modified GVFSnake Model[J]. , 2007, 20(3): 388-393.

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http://manu46.magtech.com.cn/Jweb_prai/EN/ OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2007/V20/I3/388

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