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      • KCI등재후보

        Real Time Moving Object Detection Based on Frame Difference and Doppler Effects in HSV color model

        Nuwan Sanjeewa,김원호 사단법인 한국위성정보통신학회 2014 한국위성정보통신학회논문지 Vol.9 No.4

        This paper propose a method to detect moving object and locating in real time from video sequence. first the proposedmethod extract moving object by differencing two consecutive frames from the video sequence. If the interval betweencaptured two frames is long, it cause to generate fake moving object as tail of the real moving object. secondly this paperproposed method to overcome this problem by using doppler effects and HSV color model. finally the object segmentationand locating is done by combining the result that obtained from steps above. The proposed method has 99.2% of detectionrate in practical and also this method is comparatively speed than other similar methods those proposed in past. Since thecomplexity of the algorithm is directly affects to the speed of the system, the proposed method can be used as lowcomplexity algorithm for real time moving object detection.

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