Title :
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
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.959029
