Video Object Segmentation Method Based on Change Detection and Frame Difference Accumulation

Abstract

The invention discloses a video object division method based on change detection and frame difference accumulation. The video object division method includes: interframe changes of symmetrical frames with the interval to be k frames are tested through t significance testing, a detected initial motion and variation area is subjected to time domain fixed interval time domain calculating, and a memory mask is formed through further integrating; a threshold value is adjusted through image edge continuous testing by aid of a Kirsch edge testing operator based on discontinuous testing to obtain all connected edge information in the current frame; a semantics video object plane is obtained through a space-time filter; and video object division is achieved through selective application filling and morphological processing operations. The video object division method based on change detection and frame difference accumulation is novel, effectively solves the problems of video object internal lack and background exposing which are caused by irregular object movements frequently happening in the video object division method, and is greatly improved in division speed, division effect, application range and portability.

Description

technical field [0001] The invention relates to a processing method in video object extraction, in particular to a video object segmentation method based on change detection and frame difference accumulation. On the premise of ensuring the segmentation effect and speed, it changes the shortcomings of traditional change detection that requires multiple trials to obtain the frame difference threshold, fully considers the information of the pixel neighborhood, and acquires video objects more accurately. The frame difference accumulates and applies information over a period of time, which solves the problem of missing local moving objects caused by the irregular movement of moving objects. The Kirsch edge detection operator based on discontinuity detection obtains the edge information of the complete connected image in the current frame and combines it Value-based, the combined application of the three methods makes the method more practical and popular. Background technique ...

AI Technical Summary

Problems solved by technology

This is a new video object segmentation method. Its proposal effectively solves the internal missing and revealing background of the video object caused by irregular motion (a moving object or a certain part of it is still for a period of time) that often occurs in the video object segmentation method. The problem of segmentation speed, segmentation effect, scope of application and portability have been greatly improved

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