A method for extracting target objects in interactive video

Abstract

The invention discloses a method for extracting a target object from an interactive video, comprising the following steps of: obtaining the frame difference image of three adjacent frames of images by a frame difference method as a rough estimate of the target object; then combining with the coordinate position of the rectangular region of the front frame of image to determine the rectangular region containing the target object in the present frame of image; after that, structuring the energy function of each frame of image in an original video, and realizing the accurate extraction of the target object; adequately utilizing the coordinate position of the rectangular region of the front frame of image during the process of determining the rectangular region containing the target object inthe frame of image, thus, the target object region of the present frame can be accurately determined even if aiming at the conditions of target object suddenly turning to static or background shakingand the like; and finally establishing a fraction model for each frame of image after the target object region is determined, wherein the target object can be accurately extracted by a graph cut method, thereby greatly improving the extraction accuracy.

Description

technical field [0001] The invention relates to a video segmentation technology, in particular to a method for extracting a target object in an interactive video. Background technique [0002] Video segmentation is to separate the important or interesting objects in the video from the background, or to divide the regions with consistent attributes, and to distinguish the background region and the foreground region at the same time. From the perspective of space segmentation, the extraction of video target objects is mainly to use time domain information and spatial domain information to detect the independent motion area of ​​each frame image in the video, so as to realize the extraction of video target objects. [0003] As an important part of computer vision research, video segmentation has been widely used in the fields of pattern recognition and machine vision. However, due to the complexity of video information and the limitations of the computer itself, until now, the ...

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Problems solved by technology

[0005] Find through literature search, " An Efficient Video Segmentation Algorithm with Real time Adaptive Threshold Technique disclosed in International Journal of Signal Processing, Image Processing and Pattern Recognition (image processing and pattern recognition) (2009,2 (4): 154-168) "("An Efficient Adaptive Threshold Video Segmentation Algorithm", author: Yasira Beevi C P) proposed a space-time method based on motion detection, which relies on the inter-frame difference of the video to obtain motion information, so that the motion in the video The object is extracted, but because the segmentation accuracy depends on the accuracy of the acquired motion information, and the motion information is easily affected by noise, the segmentation effect is often not ideal

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