Motion detection and error rate reduction method based on block matching

A technology of motion detection and block matching, which is applied in the fields of image processing and computer vision, can solve the problems that the background difference method depends on the detection accuracy, cannot deal with background motion, and is difficult

Inactive Publication Date: 2014-10-29
HEFEI UNIV OF TECH
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Problems solved by technology

However, the detection accuracy of the background difference method depends on the accuracy of the background image construction, that is, when the background reference image is constructed, it needs to be able to truly reflect the current scene, and whether the real-time update of the parameters can reflect the changes of the background. These background changes include: changes in illumination (including Slow lighting changes and sudden changes

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  • Motion detection and error rate reduction method based on block matching
  • Motion detection and error rate reduction method based on block matching
  • Motion detection and error rate reduction method based on block matching

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Embodiment Construction

[0043] A kind of motion detection based on block matching and the method for reducing error rate mainly comprise the following steps (as figure 1 ):

[0044] (A): Acquire an image sequence, including frame images at time t-1 and time t;

[0045](B): Perform a block matching algorithm on frame images at time t-1 and time t to find out the motion vector of each block;

[0046] (C): Carry out outlier detection on the vector from time t-1 to time t, and correct it;

[0047] (D): Clustering the vectors in the rectified image.

[0048] Described a kind of motion detection based on block matching and the method for reducing error rate, the concrete steps of described step B are as follows:

[0049] (1) Acquire image sequences, including frame images at time t-1 and time t, and divide each block into n×n macroblocks with the images of each frame;

[0050] (2) Due to the similarity of adjacent frames, for each block in the current frame, according to a certain matching criterion, f...

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Abstract

The invention discloses a motion detection and error rate reduction method based on block matching. The motion detection and error rate reduction method based on the block matching mainly includes following steps: obtaining an image order which comprises frame images at a t-1 moment and a t moment; performing block matching arithmetic on the frame images at the t-1 moment and the t moment, and finding out a motion vector of each block; performing outlier detection on the vectors from the t-1 moment to the t moment and revising outliers; clustering vectors in a revised image. The motion detection and error rate reduction method based on the block matching can effectively achieve good effects in video with a moving background, especially avoids the special circumstance that the moving distance of a foreground in a frame is less than the moving distance of the background when a camera moves along with the moving foreground, can effectively adapt to different shooting modes, and avoids a mismatching problem caused by an occlusion problem between each two adjacent frames.

Description

Technical field: [0001] The invention belongs to the technical field of image processing and computer vision, and in particular relates to a motion detection based on block matching and a method for reducing error rate. Background technique: [0002] Moving target detection is the basis and key point of intelligent analysis and processing in the smart TV video system. Its purpose is to detect the changing area in the sequence image and extract the moving target from the background image for the follow-up It provides support for algorithms such as moving target recognition, tracking, behavior analysis, and depth assignment. [0003] At present, the commonly used moving target detection algorithms mainly include frame difference method, optical flow method and background difference method. Among them, the inter-frame difference method is simple to calculate and has strong real-time performance, but its calculation error is relatively large, and it cannot handle the situation ...

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Application Information

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IPC IPC(8): G06T7/20H04N5/14
Inventor 解光军卫伟杨依忠马茏丁继生
Owner HEFEI UNIV OF TECH
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