Title :
Moving Object Segmentation Algorithm Based on Edge Detection
Author_Institution :
Sch. of Electr. & Inf. Eng., Xihua Univ., Chengdu, China
Abstract :
A moving object segmentation algorithm based on edge detection is put forward in this paper. The algorithm reconstructs background from image sequence. It uses edge detection to eliminate the disturbance of shadow, and uses Gaussian filter to eliminate noise. The background subtraction is used to extract moving object. The experimental results show that this algorithm effectually avoids the influence of noise and shadow and accurately extracts the moving objects.
Keywords :
Gaussian noise; digital filters; edge detection; feature extraction; image denoising; image motion analysis; image reconstruction; image segmentation; image sequences; object detection; Gaussian filter; background reconstruction; background subtraction; edge detection; image sequence; moving object segmentation algorithm; noise elimination; shadow disturbance elimination; Image edge detection; Information filters; Noise; Object segmentation; Optical filters; Pixel;
Conference_Titel :
Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5391-7
Electronic_ISBN :
978-1-4244-5392-4
DOI :
10.1109/CISE.2010.5677227
