Object tracking by adaptive modeling

Author

Rares, A. ; Reinders, M.J.T.

Author_Institution

Fac. of Inf. Technol. & Syst., Delft Univ. of Technol., Netherlands

Volume

3

fYear

2000

fDate

2000

Firstpage

74

Abstract

This paper addresses the problem of object tracking in image sequences. The approach taken is based upon adaptive statistical models. An object selected in a frame by a user is tracked throughout the sequence by using a blob-like description of its features. The object features are continuously updated by using the on-line version of the expectation-maximization algorithm. The proposed object description results in a flexible representation

Keywords

adaptive signal processing; feature extraction; image representation; image restoration; image sequences; optimisation; statistical analysis; tracking; EM algorithm; adaptive modeling; adaptive statistical models; blob-like feature description; expectation-maximization algorithm; feature space; image sequences; movie material restoration; object description; object representation; object tracking; Expectation-maximization algorithms; Frequency; Image restoration; Image sequences; Information technology; Iterative algorithms; Layout; Motion pictures; Shape; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.899298

Filename

899298