Moving Object Detection using Gaussian Pyramid based Subtraction Images in Road Video Sequences

가우시안 피라미드 기반 차영상을 이용한 도로영상에서의 이동물체검출

  • Kim, Dong-Keun (Division of Computer Science and Engineering, Kongju University)
  • 김동근 (공주대학교 컴퓨터공학부)
  • Received : 2011.11.01
  • Accepted : 2011.12.13
  • Published : 2011.12.31


In this paper, we propose a moving object detection method in road video sequences acquired from a stationary camera. Our proposed method is based on the background subtraction method using Gaussian pyramids in both the background images and input video frames. It is more effective than pixel based subtraction approaches to reduce false detections which come from the mis-registration between current frames and the background image. And to determine a threshold value automatically in subtracted images, we calculate the threshold value using Otsu's method in each frame and then apply a scalar Kalman filtering to the threshold value. Experimental results show that the proposed method effectively detects moving objects in road video images.


Moving Object Detection;Gaussian Pyramid;Road Video Sequences


Supported by : 공주대학교


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