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http://dx.doi.org/10.5762/KAIS.2019.20.4.43

A Blocking Algorithm of a Target Object with Exposed Privacy Information  

Jang, Seok-Woo (Department of Software, Anyang University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.20, no.4, 2019 , pp. 43-49 More about this Journal
Abstract
The wired and wireless Internet is a useful window to easily acquire various types of media data. On the other hand, the public can easily get the media data including the object to which the personal information is exposed, which is a social problem. In this paper, we propose a method to robustly detect a target object that has exposed personal information using a learning algorithm and effectively block the detected target object area. In the proposed method, only the target object containing the personal information is detected using a neural network-based learning algorithm. Then, a grid-like mosaic is created and overlapped on the target object area detected in the previous step, thereby effectively blocking the object area containing the personal information. Experimental results show that the proposed algorithm robustly detects the object area in which personal information is exposed and effectively blocks the detected area through mosaic processing. The object blocking method presented in this paper is expected to be useful in many applications related to computer vision.
Keywords
Image Sequence; Color Model; Feature Extraction; Target Object; Blocking;
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Times Cited By KSCI : 8  (Citation Analysis)
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