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A Study on Motion Detection of Object Using Active Block Matching Algorithm  

Lee Chang-Soo (숭실대학교 컴퓨터공학과 통신연구실)
Park Mi-Og (성결대학교 컴퓨터공학부)
Lee Kyung-Seok (산업연구원)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.31, no.4C, 2006 , pp. 407-416 More about this Journal
Abstract
It is difficult for the movement detection of an object through a camera to detect exact movement because of unnecessary noises and changes of the light. It can be recognized as a background, when there is no movement after the inflow of an object. Therefore, It is necessary to fast search algorithm for tracking and extract of object that is realtime image. In this thesis, we evaluate the difference of the input vision based on initial image and replace some pixels in process of time. When there is a big difference between background image and input image, we decide it is the point of the time of the object input and then extract boundary point of it. The extracted boundary point detects precise movement of the object by creating minimum block of it and searching block that maintaining distance. The designed and embodied system shows more than 95% accuracy in the performance test.
Keywords
Motion Detection; Background Image; Block Matching; Searching Block; Object Boundary Point;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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