Title :
An Edge-Detection Method for Moving Objects
Author :
Zhang, Jing ; Shan, Ying ; Guo, Mao-zu
Author_Institution :
Harbin Inst. of Technol., Longjiang
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;
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
DOI :
10.1109/ICAL.2007.4338819
