Video segmentation method based on strong target constraint video saliency

A video segmentation and target segmentation technology, applied in the field of image processing, can solve the problems of inaccuracy, efficiency and low video segmentation technology.

Inactive Publication Date: 2018-01-30
HUAZHONG UNIV OF SCI & TECH +1
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Problems solved by technology

[0005] Aiming at the above defects or improvement needs of the prior art, the present invention provides a video segmentation method based on strong object constrained video saliency, the purpose of which is to use strong object constraine

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  • Video segmentation method based on strong target constraint video saliency
  • Video segmentation method based on strong target constraint video saliency
  • Video segmentation method based on strong target constraint video saliency

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[0099] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0100] The present invention mainly comprises the content of two aspects, is respectively:

[0101] 1. Video saliency extraction with strong target constraints;

[0102] Video saliency is evolved from the concept of image saliency. It is generally believed that image saliency characterizes the most salient region in the current image, that is, the region most likely to be marked as the foregrou...

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Abstract

The invention, which belongs to the technical field of image processing, discloses a video segmentation method based on strong target constraint video saliency. According to the method disclosed by the invention, strong target constraint is introduced based on image saliency. The location and scale constraint of a target are obtained by a multi-scale tracking algorithm and optical flow correction,color constraint information of the target is obtained based on a historical frame segmentation result, and calculation is carried out obtain a video saliency result; histogram classification is carried out on the video saliency result to obtain a tag mask graph, and foreground/background prior probability models of a current frame are calculated; a super-pixel-based time-space continuum full connection condition random field model is constructed at the current frame, data items are defined by using the prior probability models, an intra-frame smooth item and an inter-frame smooth item are defined by combining color distances, space distances and edge relationships between super pixels, and optimized solution is carried out by using a fast high-dimensional Gaussian filter algorithm to complete video target segmentation. Therefore, the accuracy and the time efficiency of video segmentation are improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and more particularly relates to a video segmentation method based on strong target constrained video saliency. Background technique [0002] Video segmentation is a technique to segment out the foreground object in each frame of image in the video, that is, to completely determine the foreground contour. Video segmentation is often at the bottom of the video processing algorithm, and its segmentation results are used for higher-level video application problems, such as video foreground feature extraction, foreground classification, and foreground recognition. At the same time, in industrial production, there is also a demand for video segmentation, such as video editing, 3D video reconstruction, and video semantic analysis. [0003] In the video segmentation problem, it is necessary to segment the foreground area in each frame of the image. Generally, the video segmentation algorithm ...

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Application Information

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IPC IPC(8): G06T7/136G06T7/11G06T7/194G06T7/215
Inventor 韩守东张珑刘昱均陈阳胡卓
Owner HUAZHONG UNIV OF SCI & TECH
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