DocumentCode
1881511
Title
Moving Object Segmentation Algorithm Based on Edge Detection
Author
Wang, Ping
Author_Institution
Sch. of Electr. & Inf. Eng., Xihua Univ., Chengdu, China
fYear
2010
fDate
10-12 Dec. 2010
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CISE.2010.5677227
Filename
5677227
Link To Document