Video foreground object extracting method based on visual saliency and superpixel division

Abstract

The invention discloses a video foreground object extracting method based on visual saliency and superpixel division. The video foreground object extracting method includes steps: a, dividing multiple layers of superpixels of video: dividing the superpixels of the video used as a three-dimensional video body, and grouping elements of the video body into body areas; b, detecting visual saliency areas of key frames of the video and extracting foreground objects of the key frames: analyzing the visual saliency areas in images of the key frames of the video by a visual saliency detecting method, then using the visual saliency areas as initial values and obtaining the foreground objects of the key frames by an image foreground extracting method; and c, matching the foreground objects of the key frames with a dividing result of the superpixels of the video and transmitting foreground object extracting results of the key frames among the frames: diffusing areas, covered by the foreground objects of the key frames, of the video body, and further continuously transmitting the foreground object extracting results among the frames. The video foreground object extracting method is high in efficiency, accurate in result and little in manual intervention and is robust.

Description

technical field [0001] The invention belongs to the technical field of video image processing, in particular to a video foreground object extraction method based on visual saliency and video superpixel segmentation. Background technique [0002] With the rapid development of multimedia technology, video foreground object extraction has important application value in the field of video image processing technology, such as video synthesis, content-based video retrieval, etc. Although the interaction-based foreground object extraction method for static images has made great breakthroughs, it is still a very difficult problem to extract moving foreground objects in videos. [0003] Driven by strong demand, various researches on video foreground object extraction through simple user interaction emerge in endlessly. Li, Wang, and Armstrong et al proposed methods based on 3D GraphCut in 2005 and 2007 respectively; Blake and Chuang et al proposed a video segmentation transfer metho...

AI Technical Summary

Problems solved by technology

Simply extracting the foreground frame by frame will lead to the discontinuity of the video image. The present invention proposes a video foreground object extraction method based on visual saliency and video superpixel segmentation, which can overcome the time discontinuity caused by the traditional method, and only needs Good results can be achieved with less interaction

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