Self-adaptive threshold value moving object detection method based on codebook background model

An adaptive threshold and background model technology, applied in image data processing, instrumentation, computing, etc., can solve problems such as unstable detection results

Inactive Publication Date: 2014-04-16
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] Since the codebook background modeling algorithm manually sets the thresholds of different matching conditions according to different videos, and the thresholds of different videos will vary greatly, this manual setting of thresholds not only increases the number of algorithm implementers. The impact of human factors on the test results also makes the test results unstable

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  • Self-adaptive threshold value moving object detection method based on codebook background model
  • Self-adaptive threshold value moving object detection method based on codebook background model
  • Self-adaptive threshold value moving object detection method based on codebook background model

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specific Embodiment

[0064] A specific embodiment of the present invention is as follows:

[0065] Using the video resources on http: / / www.changedetection.net as the experimental database, we selected WavingTrees and highway video image sequences, and added a self-shooting video.

[0066] The image resolution of WavingTrees is 160 pixels × 120 pixels. The image sequence includes the empty sky, fixed trees with complex background textures and swaying branches, a total of 287 images; the image resolution of the highway sequence image is 320 pixels × 240 images Pixels, the image sequence is a video collected on the highway, the video includes a large forest with complex background texture, and fast-moving vehicles, a total of 1700; the image resolution of the self-shot video image sequence is 320 Pixels × 240 pixels, the background of the video is relatively simple, but the movement of moving objects changes greatly and the impact of light is greater, a total of 818.

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Abstract

The invention discloses a self-adaptive threshold value moving object detection method based on a codebook background model, which belongs to the technical field of intelligent video monitoring. The method comprises the following steps of (1) classifying an inputted video image sequence into a training set and a detection result set, and creating an initial codebook background model for the inputted training set through a self-adaptive threshold value method; (2) purifying and optimizing the created initial codebook background model through a time filtering way; (3) applying the purified codebook background model to the foreground detection, and subtracting the codebook background model adopting the front n frames of image which is used as a training sample as the training set by the subsequently inputted video image sequence; and (4) binarizing the obtained differential image, and utilizing the binary image as a final detection result image. By adopting the method, the threshold value can be self-adaptively adjusted, so that compared with the traditional detection method, the method has the advantages that a better detection result can be obtained, and the accuracy is high.

Description

technical field [0001] The invention belongs to the technical field of intelligent video monitoring, and relates to an adaptive threshold moving target detection method based on a codebook background model. Background technique [0002] In recent years, with the wide application and rapid development of intelligent video surveillance technology in the field of computer vision, moving object detection as the basis of intelligent video surveillance and intelligent video analysis has also achieved fruitful results. Various moving object detection algorithms It has been proposed and improved continuously, and more and more intelligent monitoring systems based on moving object detection have been put into use. However, there are still many problems in the research of moving target detection that have not been well resolved. The reason is that there are many situations that cause background changes whether it is outdoors or indoors: outdoors and other environments that cannot cont...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
Inventor 李伟生曹印兴
Owner CHONGQING UNIV OF POSTS & TELECOMM
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