Moving Object Detection Method Based on Sparsity and Smoothness

A moving target and detection method technology, applied in image data processing, instrumentation, computing, etc., can solve the problems of slow time change of background signal, unsatisfactory effect, sparse foreground signal, etc.

Inactive Publication Date: 2015-10-28
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

This method regards the detection of background and foreground as a kind of signal separation problem: the background signal changes slowly with time; the foreground signal changes differently from the background signal, and the foreground signal has a sparse nature.
[0007] The above-mentioned background subtraction methods are often not ideal in dynamic background scenes. These methods mistakenly detect some background points as foreground points

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  • Moving Object Detection Method Based on Sparsity and Smoothness
  • Moving Object Detection Method Based on Sparsity and Smoothness
  • Moving Object Detection Method Based on Sparsity and Smoothness

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Embodiment Construction

[0032] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0033] Such as figure 1 As shown, this embodiment provides a method for detecting moving objects based on sparsity and smoothness. The specific implementation details are as follows. For the parts that are not described in detail in the following embodiments, refer to the content of the invention:

[0034] (1). Construct the independent variable matrix: extract an image every 10 frames from the first 200 images of the current video frame sequence, and extract a total of 20 images as the training v...

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Abstract

The invention discloses a moving object detection method based on sparsity and smoothness in the technical field of video picture processing. According to the method, a regression model which is suitable for moving object detection is designed, restraints of sparsity and smoothness are exerted on a moving object when the regression model is used for assessing the moving object, and then a final detection result is obtained. By means of the moving object detection method based on sparsity and smoothness, the detection result of the moving object is enabled to be accurate and reliable in the complex environment such as a dynamic background.

Description

technical field [0001] The present invention relates to a method in the technical field of video image processing, in particular to a moving target detection method based on sparsity and smoothness. Background technique [0002] The research and application of moving object detection methods is an active branch in the field of computer vision and intelligent video analysis, and plays an important role in practical applications such as video surveillance, automatic control, and security inspection. Accurate and reliable moving target detection results are the basis for higher-level information processing, such as target tracking, target recognition, behavior analysis, etc. [0003] The current moving target detection methods have achieved relatively stable and reliable results in common environments, but the performance of these methods in complex scenes is often unsatisfactory. Moving object detection in dynamic background, as one of the difficulties in object detection in ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20
Inventor 宋利薛耿剑孙军
Owner SHANGHAI JIAO TONG UNIV
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