Vehicle detecting and tracking method

A vehicle detection and moving area technology, applied in the field of image processing, can solve the problems of inaccurate area merging and segmentation, low efficiency of vehicle detection and tracking, etc., and achieve good results

Inactive Publication Date: 2011-10-19
北京云加速信息技术有限公司
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  • Abstract
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Problems solved by technology

The most serious weakness of this method is the inaccuracy of region merging and segmentation in vehicle detection
[0006] The detection and tracking efficiency of the above multiple vehicles is not high, and this problem needs to be solved urgently

Method used

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Embodiment Construction

[0023] The method of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0024] Such as figure 1 as shown, figure 1 It is a flow chart of a vehicle detection and tracking method of the present invention. The improved vehicle detection and tracking algorithm that the present invention proposes is described in detail as follows in conjunction with embodiment: present embodiment method comprises the following steps:

[0025] 1) For each frame of image, establish a Gaussian background model;

[0026] The single-distribution Gaussian background model believes that for a background image, the distribution of specific pixel brightness satisfies the Gaussian distribution, so that each pixel attribute of the background model includes two parameters: mean value u and variance d. The process of establishing the background model is to obtain these two parameters for each pixel.

[0027] 2) Use the fr...

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Abstract

The invention relates to a vehicle detecting and tracking method. The method is characterized by comprising the following steps of: establishing a Gaussian background model for each frame image in a video; performing differential processing on two adjacent frames with a frame subtraction method to obtain a rough motion region and a rough static region; performing background updating on the obtained static region and not updating the motion region; differentiating a current frame image and an updated background image to obtain an accurate motion region; finding an overlap region between motionregion images of two obtained adjacent frames with a pixel point matching method and comparing the overlap region with a given threshold value; if the overlap region is larger than the given threshold value, judging whether target overlap occurs; if so, calculating the length-width ratio of a first frame motion region in two adjacent frames and detecting and tracking a motion vehicle according tothe ratio; otherwise, judging that the same vehicle moves; and if the overlap region is smaller than the given threshold value, evaluating a minimum external rectangle of a plurality of target framesto correctly detect and track the vehicle.

Description

technical field [0001] The invention relates to image processing, in particular to a vehicle detection and tracking method. Background technique [0002] Intelligent Transportation System (ITS) is a hot spot in current research and development. The intelligent transportation system is a large-scale, A real-time, accurate and efficient integrated transportation and management system that functions in all directions. [0003] Among them, in the intelligent transportation system, the detection and tracking of vehicles is the most basic part. It requires to detect whether there is a moving vehicle entering the test field of the camera from the image sequence obtained by the camera, and to locate the position of the moving vehicle. It belongs to the computer The scope of visual research. [0004] Currently, commonly used vehicle detection methods include background difference method, frame difference method and optical flow method. Among them, the background difference method...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
Inventor 蔚晓明王晶
Owner 北京云加速信息技术有限公司
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