A Multi-Object Tracking Algorithm based on Adaptive Pattern Matching and Offset Estimating

Author

Luo, Sanding ; Tan, Weige

Author_Institution

Coll. of Inf. Sci. & Eng., Central South Univ.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

10135

Lastpage

10139

Abstract

Tracking of moving multi-object is an important problem on computer vision and the key lies in the correct correspondence of these targets. This paper proposes a new tracking algorithm. Based on the correct recognition the tracking procedure adopts adaptive template matching algorithm in tracking window. And then the paper presents an integration emendation in order to locate missing targets and find the other targets position. The algorithm improves the speed and robust of tracking algorithm. And finally this paper gives the analysis of the experiment results of adaptive template matching tracking algorithm

Keywords

computer vision; image matching; image motion analysis; target tracking; adaptive pattern matching; adaptive template matching algorithm; computer vision; moving multiobject tracking algorithm; Algorithm design and analysis; Automation; Computer vision; Educational institutions; Information science; Intelligent control; Pattern matching; Robustness; Target tracking; Adaptive Pattern; Emendation Algorithm; Object Tracking; Offset Estimating;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713983

Filename

1713983