Moving object detecting and tracking method based on compressive sensing

A moving target, compressed sensing technology, applied in color TV parts, TV system parts, image data processing and other directions, can solve the problems of small amount of calculation, expensive equipment, complicated calculation of optical flow method, etc.

Inactive Publication Date: 2014-12-24
JIANGSU UNIV
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Problems solved by technology

Due to the complex calculation of the optical flow method, poor real-time performance, and expensive equipment, it is rarely used in the actual environment; the foreground objects obtained by the inter-frame difference method are prone to holes or overlaps; an

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  • Moving object detecting and tracking method based on compressive sensing
  • Moving object detecting and tracking method based on compressive sensing
  • Moving object detecting and tracking method based on compressive sensing

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[0061] A further description will be given below in conjunction with the drawings.

[0062] A moving target detection and tracking method based on compressed sensing, including sequence reconstruction of the fusion support set and residual compensation of the video sequence, the use of background subtraction based on compressed sensing for target detection, and the improved particle filter algorithm Moving targets are tracked. The moving target detection and tracking system executes the following steps:

[0063] Step 1 Acquisition of image sequence: Collect image sequence information through camera and image acquisition equipment;

[0064] Step 2 Image sequence reconstruction: Combine the support set and residual compensation to reconstruct the image sequence obtained in step 1;

[0065] Step 3: Moving target detection: Use background subtraction based on compressed sensing theory to perform target detection on the reconstructed sequence obtained in step 2, and use methods such as mo...

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Abstract

The invention discloses a moving object detecting and tracking method based on compressive sensing. The moving object detecting and tracking method includes the steps that supporting set fusing and residual compensation sequence rebuilding are carried out on a video sequence, target detection is carried out through background subtraction based on compressive sensing, and a moving object is tracked according to the improved particle filtering algorithm. When background extraction is carried out, the calculated amount of compressive sensing domains will be much less than the calculated amount of spatial domains, so that a large number of storage and technology expenses are saved; meanwhile, the correlation between frames of images in an image sequence serves as prior information and is used in the compressive sensing restructuring procedure, the searching space can be reduced, and the restructuring accuracy of a restructuring algorithm can be improved. The tracking performance of the improved tracking algorithm which fuses the compressive sensing principle and sheltering judgment and is based on dynamic weight section is more accurate under the illumination shadow and sheltering conditions, and the degeneration problem is obviously solved.

Description

technical field [0001] The invention belongs to the field of intelligent video monitoring, and in particular relates to a moving target detection and tracking image processing method integrated with compression sensing technology, which realizes detection and identification of abnormal behavior in input video signals. Background technique [0002] With the increasing attention to security issues in the current society and the rapid development of digital video technology, video surveillance has become a research hotspot in the field of computer vision, and it is constantly advancing towards the direction of intelligence and networking. Intelligent video surveillance realizes the detection, extraction, identification and tracking of targets in dynamic scenes without human intervention, and on this basis completes the understanding of the behavior of moving targets, so as to achieve both daily management functions and Make timely judgments when abnormal situations occur. At p...

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Application Information

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IPC IPC(8): H04N7/18H04N5/14G06T7/20
Inventor 宋雪桦万根顺王维于宗洁化瑞刘委卜晓晓
Owner JIANGSU UNIV
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