Title :
A New Method for Tracing by Using Corner Detecting and k-Nearest Neighbor
Author :
Yang, Zhang ; Liqun, Gao ; Shufan, Ye
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
This paper deals with object tracing using corner detecting and k-Nearest Neighbor. The goal is to determine in successive frame the object which the variable templates. The method of this paper, first used Hassris operator for corner detecting in the image, then based on the theory of K-Nearest Neighbor (KNN) to reduce the corners, Finally, used the remaining corner to construction k-polygon model for tracing. The experiment results indicated that this method can trace the abnormity object, reduce computing time as well as increase scientific property of the algorithm through statistical testing.
Keywords :
edge detection; object detection; pattern recognition; statistical testing; corner detection; k-nearest neighbor; k-polygon model construction; object tracing; statistical testing; Automatic control; Computer vision; Digital images; Educational institutions; Image edge detection; Information science; Information security; Military computing; Object detection; Testing; K-Nearest Neighbor; corner detecting; feature extraction; object tracing;
Conference_Titel :
Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on
Conference_Location :
Jinggangshan
Print_ISBN :
978-1-4244-6730-3
Electronic_ISBN :
978-1-4244-6743-3
DOI :
10.1109/IITSI.2010.34