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

fYear

2010

fDate

2-4 April 2010

Firstpage

337

Lastpage

340

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IITSI.2010.34

Filename

5453588