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http://dx.doi.org/10.5762/KAIS.2011.12.12.5856

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

Kim, Dong-Keun (Division of Computer Science and Engineering, Kongju University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.12, no.12, 2011 , pp. 5856-5864 More about this Journal
Abstract
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.
Keywords
Moving Object Detection; Gaussian Pyramid; Road Video Sequences;
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