Performance of reference block updating techniques when tracking with the block matching algorithm

Author

Haworth, C. ; Peacock, A.M. ; Renshaw, D.

Author_Institution

Dept. of Electron. & Electr. Eng., Edinburgh Univ., UK

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

365

Abstract

An important problem when using the block matching algorithm to track objects is how to update the reference block to take account of the changing target appearance. This paper investigates and reports on the accuracy and stability of a variety of update strategies and on the robustness of these strategies to image noise. These strategies are applicable where an object is being tracked using the block matching algorithm over an extended period of time or where the object appearance is changing over time

Keywords

FIR filters; Kalman filters; correlation methods; image matching; image sequences; motion estimation; random noise; target tracking; FIR filter; Kalman filter; block matching algorithm; correlation based approach; image noise; image sequences; motion estimation; reference block updating techniques; target appearance; tracking; Covariance matrix; Equations; Finite impulse response filter; Kalman filters; Motion estimation; Noise level; Noise robustness; Robust stability; Target tracking; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.959029

Filename

959029