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Vehicle blocking detection and segmentation method in video frame

A vehicle occlusion and occlusion detection technology, which is applied in image analysis, image data processing, instruments, etc., can solve problems such as unguaranteed real-time requirements, complexity, and incomplete vehicle segmentation, and achieve good vehicle occlusion detection and segmentation effects, accurate High performance, broad application prospects and development potential

Inactive Publication Date: 2012-11-21
崔志明 +2
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Problems solved by technology

[0005] The purpose of the present invention is to provide a vehicle occlusion detection and segmentation method based on a statistical model to solve the problem that the traditional statistical model algorithm is relatively complicated and the real-time requirements cannot be guaranteed. Vehicles cannot be completely segmented and other problems, not only meet the real-time requirements in terms of computing speed, but also solve the problem of complete vehicle segmentation, with strong robustness

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  • Vehicle blocking detection and segmentation method in video frame
  • Vehicle blocking detection and segmentation method in video frame
  • Vehicle blocking detection and segmentation method in video frame

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Embodiment

[0033] Example: figure 1 It is a flowchart of vehicle occlusion detection and segmentation based on a statistical model implemented in the present invention, and the data file is a video file containing moving vehicles.

[0034] Methods as below:

[0035] (1) Hole filling According to the requirements of the statistical model, we first need to fill the extracted foreground motion area. Since the color of the car window and the road are relatively close, the color of the window and the color of the road are relatively close. The motion area obtained by subtracting the background Contains large holes, so this paper uses the method of horizontal-vertical raster scanning to operate the obtained moving foreground area, assuming S(i, j) is a certain foreground area, the size is i×j, the foreground point is 1, and the background The point is 0. That is, perform the following operations on the foreground area S(i,j):

[0036] (1) First perform a single-line horizontal scan...

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Abstract

The invention discloses a vehicle blocking detection and segmentation method in a video frame. The method comprises the following steps of: obtaining a motion object by a background subtraction method, and carrying out cavity removal on a foreground motion vehicle to obtain the complete foreground motion vehicle; constructing a vehicle foreground statistical model, and judging whether a vehicle is blocked in a motion block mass by adopting a statistical model into which an error correction mechanism is added; calibrating a blocking region according to an obtained blocking point in a situationthat the vehicle is determined to be blocked; extracting the transverse edge information of the blocking region by a Sobel operator; and then combining an edge of the blocking region and a foregroundedge to obtain a complete vehicle segmentation result. In the invention, the real-time property of the method is taken into consideration, and the problems of blocking between different vehicles and blocking of different degrees can be also well solved at the same time. A technology has a wide application prospect and development potential in the fields of vehicle detection, moving vehicle tracing, automobile auxiliary motion and vehicle behaviour model analysis, so that the real-time property and accuracy of target detection can be improved.

Description

technical field [0001] The invention relates to a method for detecting and segmenting an image, in particular to a method for detecting and segmenting vehicle occlusion in a video frame based on a statistical model. Background technique [0002] Moving object occlusion detection and segmentation has a wide range of applications in the fields of moving object detection, moving object tracking, and moving object behavior analysis. The quality of moving object occlusion detection and segmentation directly affects the realization of related functions. Because the moving target itself and the surrounding environment are complex and changeable, it is still a very challenging research topic in computer vision to obtain a robust and efficient moving target occlusion detection and segmentation method. [0003] With the development of the economy and the improvement of people's living standards, motor vehicles have become the preferred means of transportation for people to travel. Th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20G06T7/194G06T7/246
Inventor 崔志明吴健岳恒军陈建明
Owner 崔志明
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