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http://dx.doi.org/10.12815/kits.2013.12.6.108

A Study on the Revised Method using Normalized RGB Features in the Moving Object Detection by Background Subtraction  

Park, Jong-Beom (한양여자대학교 정보경영과)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.12, no.6, 2013 , pp. 108-115 More about this Journal
Abstract
A developed skill of an intelligent CCTV is also advancing by using its Image Acquisition Device. In this field, area for technique can be divided into Foreground Subtraction which detects individuals and objects in a potential observing area and a tracing technology which figures out moving route of individuals and objects. In this thesis, an improved algorism for a settled engine development, which is stable to change in both noise and illumination for detecting moving objects is suggested. The proposed algorism from this thesis is focused on designing a stable and real time processing method which is perfect model in detecting individuals, animals, and also low-speeding transports and catching a change in an illumination and noise.
Keywords
Background Subtraction; Foreground Subtraction; Moving Object Detection; Image Acquisition Device; CCTV;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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