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Prospect frame detecting method based on edge model

An edge model and frame detection technology, applied in image data processing, instrumentation, computing and other directions, can solve the problem of slow or even temporary stagnation of foreground moving objects that cannot adapt to changes in scene light, and achieve the effect of reducing computing costs.

Inactive Publication Date: 2011-10-19
JIANGSU UNIV
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Problems solved by technology

[0003] The purpose of the present invention is to overcome the defects that general foreground detection methods cannot adapt to scene light changes and slow or even temporary stagnation of foreground moving objects, and provide a simple and real-time edge model-based foreground frame detection method

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Embodiment Construction

[0010] The technical scheme of the present invention is further described below in conjunction with the accompanying drawings:

[0011] see figure 1 As shown, first, extract video samples, and use the same fixed camera position and the same scene to capture the specific detection video that needs foreground frame detection, resolution It is 320×240. The meaning of the scene here refers to a fixed geographical area of ​​the camera. The video parameter values ​​of different scenes are different, but in the same scene, the frame sequence statistics time , background edge pixel determination threshold and sequence frame noise edge judgment threshold These three parameter values ​​are stable. Manually intercept the specific detection video that needs to be detected. Then, the pseudo-sphere operator edge detection operator is used to process the specific detection video frame sequence to be detected, and the resolution is extracted. For edge images of 320×240 sequence fra...

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Abstract

The invention discloses a prospect frame detecting method based on an edge model, which is used for prospect frame determination in the analysis of a security monitoring video frame sequence. The method comprises the following steps of: extracting edge frames only containing edge images from sequence frames by means of a pseudo-sphere edge detection operator; counting the presence probability of edge points of the edge frames in frame sequence statistic time, marking a background attribute and a foreground attribute based on a determination condition of distinguishing according to the attributes of the edge pixel points within the current edge frame; in a foreground edge image, if the number of the edge points connected together in the current frame is less than or equal to 2, determiningthat the points are noise points and removing these points; and if the total number of pixels of the left foreground edge images is less than a noise determination threshold of the sequence frame, determining that the frames are background frames, otherwise, foreground frames. The method of the invention reduces the calculation cost, effectively adapts to the cases of background light change, slow object motion or short stagnation and the like, and creates favourable conditions for subsequent object motion analysis.

Description

technical field [0001] The invention relates to machine vision technology, in particular to foreground frame judgment applied in the analysis of security monitoring video frame sequence. Background technique [0002] Foreground frame detection is a technique for detecting whether there is a moving or slow-moving or short-standing foreground object in a video. At present, in the process of video analysis, frame difference method and background method with low computational cost are widely used (see: Herrero S, Bescós J. Background Subtraction Techniques: Systematic Evaluation and Comparative Analysis[C] / / Proceedings of the 11th International Conference on Advanced Concepts for Intelligent Vision Systems. Springer-Verlag. 2009, 5807 / 2009:33-42). The frame difference method is sensitive to noise, and it is not easy to detect the slow moving or temporarily stationary foreground targets in a fixed area; while the background method is relatively robust to noise, but is greatly af...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 朱伟兴纪滨李新城
Owner JIANGSU UNIV
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