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http://dx.doi.org/10.9723/jksiis.2020.25.3.053

Enhancement Techniques of Color Segmentation for Detecting Missing Persons in Smart Lighting System using Radar and Camera Sensors  

Song, Seungeon (DGIST 미래자동차연구부)
Kim, Sangdong (DGIST 미래자동차연구부)
Jin, Young-Seok (DGIST 미래자동차연구부)
Lee, Jonghun (DGIST 미래자동차연구부)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.25, no.3, 2020 , pp. 53-59 More about this Journal
Abstract
This paper proposes color segmentation for detecting missing persons in a smart lighting system using radar and camera sensors. Recently, smart lighting systems built-in radar and cameras have been efficient in saving energy and searching for missing persons, simultaneously. In smart lighting systems, radar detects moving objects and then the lights turn on and camera records. The video recorded is useful to find out missing persons. The color of their clothes worn in missing persons is one of critical hints to look for missing persons. Therefore, color segmentation is an effective means for detecting the color of their clothes. In this paper, during the color segmentation step, the ROI(Region of interest) setting based on the size of an object is applied and the background is reduced. According to experimental results, the color segmentation has good accuracy of more than 97%.
Keywords
Smart lighting system; Radar; Color; Segmentation; Sensor fusion; Missing person detection;
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Times Cited By KSCI : 4  (Citation Analysis)
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