DocumentCode
3473330
Title
An Edge-Detection Method for Moving Objects
Author
Zhang, Jing ; Shan, Ying ; Guo, Mao-zu
Author_Institution
Harbin Inst. of Technol., Longjiang
fYear
2007
fDate
18-21 Aug. 2007
Firstpage
1557
Lastpage
1560
Abstract
A method is illustrated in this paper for edge detection of moving objects in video sequences, the method synthetically combines LS-SVM (Least Squares-Support Vector Machines) algorithm with motion recovery theory for edge detection. The experimental results show that this method can provide accurate edge detection result effectively and overcomes fuzzy parts of image caused by motion. Due to low computation complexity, it has fine adaptability and robustness.
Keywords
edge detection; image motion analysis; image sequences; least squares approximations; object detection; support vector machines; edge-detection method; least squares-support vector machines algorithm; motion recovery theory; moving objects; video sequences; Application software; Computer science; Gaussian processes; Image edge detection; Kernel; Robustness; Space technology; Support vector machine classification; Support vector machines; Video sequences; LS-SVM; edge-detection; image processing; image recovery;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location
Jinan
Print_ISBN
978-1-4244-1531-1
Type
conf
DOI
10.1109/ICAL.2007.4338819
Filename
4338819
Link To Document