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http://dx.doi.org/10.3745/KIPSTB.2005.12B.6.671

Image Separation of Talker from a Background by Differential Image and Contours Information  

Park Jong-Il (단국대학교 일반대학원 전자계산학과)
Park Young-Bum (단국대학교 전자계산학과)
Yoo Hyun-Joong (상명대학교 정보통신공학과)
Publication Information
The KIPS Transactions:PartB / v.12B, no.6, 2005 , pp. 671-678 More about this Journal
Abstract
In this paper, we suggest an algorithm that allows us to extract the important obbject from motion pictures and then replace the background with arbitrary images. The suggested technique can be used not only for protecting privacy and reducing the size of data to be transferred by removing the background of each frame, but also for replacing the background with user-selected image in video communication systems including mobile phones. Because of the relatively large size of image data, digital image processing usually takes much of the resources like memory and CPU. This can cause trouble especially for mobile video phones which typically have restricted resources. In our experiments, we could reduce the requirements of time and memory for processing the images by restricting the search area to the vicinity of major object's contour found in the previous frame based on the fact that the movement of major object is not wide or rapid in general. Specifically, we detected edges and used the edge image of the initial frame to locate candidate-object areas. Then, on the located areas, we computed the difference image between adjacent frames and used it to determine and trace the major object that might be moving. And then we computed the contour of the major object and used it to separate major object from the background. We could successfully separate major object from the background and replate the background with arbitrary images.
Keywords
Talker Separation; Object Boundary Extraction; Difference Image;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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