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Region-Based Moving Object Segmentation for Video Monitoring System  

이경미 (구미1대학교 컴퓨터정보계열)
김종배 (경북대학교 컴퓨터공학과)
이창우 (경북대학교 컴퓨터공학과)
김항준 (경북대학교 컴퓨터공학과)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.40, no.1, 2003 , pp. 30-38 More about this Journal
Abstract
This paper presents an efficient region-based motion segmentation method for segmenting of moving objects in a traffic scene with a focus on a Video Monitoring System (VMS). The presented method consists of two phases: motion detection and motion segmentation. Using the adaptive thresholding technique, the differences between two consecutive frames are analyzed to detect the movements of objects in a scene. To segment the detected regions into meaningful objects which have the similar intensity and motion information, the regions are initially segmented using a k-means clustering algorithm and then, the neighboring regions with the similar motion information are merged. Since we deal with not the whole image, but the detected regions in the segmentation phase, the computational cost is reduced dramatically. Experimental results demonstrate robustness in the occlusions among multiple moving objects and the change in environmental conditions as well.
Keywords
motion detection; motion segmentation; adaptive thresholding; region merging;
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