Video segmentation method based on statistical shape prior

A technology of statistical shape and video segmentation, applied in computing, image analysis, image data processing, etc., can solve problems such as a lot of manual labor and time-consuming

Active Publication Date: 2013-10-02
ZHEJIANG UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

One solution is to introduce an unpredictable amount of user interaction, obviously this solution is very time consuming and requires a lot of manual labor

Method used

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  • Video segmentation method based on statistical shape prior
  • Video segmentation method based on statistical shape prior
  • Video segmentation method based on statistical shape prior

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Experimental program
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Embodiment

[0129] 1. Split initialization

[0130] First, the background of each frame of image is obtained. After processing one frame of image, the next frame of image is processed, and it is used as a reference frame image. If the camera is stationary or purely rotating, then the image of one frame is projected or aligned onto the image of the other frame by estimating the rotation matrix or homography matrix in the two images. For the reference frame image, project or align several other frame images onto the current reference frame image, and apply median filtering to any pixel to obtain the estimated background image of the current frame image; if the camera is moving or the background scene is a complex non-planar scene , then use the video sequence consistency depth recovery method to obtain the depth map of each frame of image, based on the depth relationship and the 3D Warping method, project or align adjacent frame images to the current reference frame image, the moving foregr...

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Abstract

The invention discloses a video segmentation method based on a statistical shape prior. The method comprises the following steps of: 1) video segmentation initialization; 2) foreground shape matching and alignment, and calculating a statistical shape prior measurement; 3) optimizing video segmentation based on the statistical shape prior measurement; 4) repeating the step 2) and step 3) more than twice and finishing. The invention provides a novel foreground shape matching and alignment method which can effectively extract a correct foreground local similar shape and a correct foreground overall similar shape in a video. The invention further provides a novel shape priori statistical method which can be applied in any video segmentation method in order to improve the segmentation quality. Finally, the invention provides a video segmentation algorithm based on a combination of the statistical shape prior measurement, an overall color probability statistics measurement and a background subtraction measurement, and the algorithm can realize a robust segmentation of the foreground and background which have similar colors.

Description

technical field [0001] The invention relates to a video segmentation method, in particular to a video segmentation method based on statistical shape prior. Background technique [0002] Video segmentation refers to dividing each frame of video into several regions according to certain rules. It has a wide range of applications in pattern recognition, computer vision, video retrieval, scene recognition and other fields. Video segmentation is developed on the basis of image segmentation. Traditional image segmentation algorithms are generally based on image color, edge, texture and other metrics. One of the difficulties in video segmentation is that both the camera and the object may move, and the motion composition is relatively complex (may include both translation and rotation). Double-layer video segmentation is a video segmentation that divides the image of each frame in the video into two regions, the foreground and the background. [0003] Liu and Gleicher et al. prop...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
Inventor 章国锋鲍虎军孙佰贵熊君君
Owner ZHEJIANG UNIV
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