Bilateral video target segmentation method and system

A target segmentation, bilateral technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of difficult to obtain spatiotemporally consistent video target segmentation results, and the lack of good use of time-series correlation characteristics.

Active Publication Date: 2019-08-23
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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AI Technical Summary

Problems solved by technology

This method of video frame-by-frame processing does not make good use of the temporal correlation characteristics between video frames, so when the optical flow estimation is inaccurate, it is difficult for this method to obtain temporally and spatially consistent video target segmentation results

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  • Bilateral video target segmentation method and system
  • Bilateral video target segmentation method and system
  • Bilateral video target segmentation method and system

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Embodiment Construction

[0066] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments.

[0067] like figure 1 A bilateral video target segmentation method shown, including:

[0068] 1. Video preprocessing

[0069] First, multiple key frames are selected in a given video sequence, for example, selected at intervals of a fixed number of frames, and then the key frames are accurately segmented to accurately mark foreground pixels and background pixels. Specifically, it can be realized by using interactive image segmentation methods such as Lazy Snapping and Grabcut; or manually roughly marking the foreground / background area in the key fr...

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Abstract

The invention discloses a bilateral video target segmentation method and system. According to the method, a video sequence with a key frame mark is mapped to a high-dimensional bilateral space, the video data to be processed is reduced, and then the non-empty grid unit is taken as the node of the graph and the graph cut optimization model is constructed; the method is characterized in that a confidence dynamic appearance model is constructed by analyzing a Gaussian distribution rule, and the possibility that each grid unit belongs to a foreground / background is accurately estimated; a high-order item is introduced into the energy function to enhance the space-time correlation of non-adjacent nodes with similar appearance characteristics; and finally, the energy function is solved by using amaximum flow / minimum cut algorithm to obtain a label value corresponding to each grid unit, and finally label distribution of the video pixel points is achieved. According to the method, interferenceof adverse factors on segmentation can be well eliminated, and video target segmentation with a complex scene can be rapidly processed with high precision.

Description

technical field [0001] The invention relates to the technical field of video object segmentation, in particular to a bilateral video object segmentation method and system combining a confident dynamic appearance model and a robust high-order term. Background technique [0002] Video object segmentation is to segment the target object of interest to the user from the video, that is, to divide all pixels into front / background spatiotemporal regions with appearance, motion, etc., and is a prerequisite for many advanced vision applications, such as object detection, Video retrieval, security monitoring, film and television post-production and intelligent transportation, etc. [0003] The existing video object segmentation methods are mainly divided into two categories: automatic video object segmentation methods and interactive video object segmentation methods. The former usually uses feature point / area tracking based on optical flow, target suggestion area, etc. to automatica...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/136G06T7/194G06T7/90
CPCG06T7/11G06T7/136G06T7/194G06T7/90G06T2207/10016
Inventor 桂彦田颖曾光
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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