Applications of radar tracking algorithms to motion analysis in biomedical images

Author

Beresford-Smith, B. ; Van Helden, D.F.

Author_Institution

Dept. of Comput. Sci., Newcastle Univ., Callaghan, NSW, Australia

Volume

1

fYear

1994

fDate

13-16 Nov 1994

Firstpage

411

Abstract

A standard algorithm based on the Kalman Filter and used for tracking multiple targets in a noisy environment has been applied to analysing the motion of cells in video images. The method, known as Probabilistic Data Association, is computationally efficient, allowing simultaneous monitoring of many cells at video frame rates of 25 Hz. The present study uses the tracking procedure to investigate the motion of human sperm cells. Extensions to allow the tracking of many hundreds of cells at video rates using a massively data parallel computer are explained. The procedure is well suited for real time tracking of other visualised biological events

Keywords

Kalman filters; biological techniques; biology computing; cell motility; motion estimation; radar tracking; video signal processing; Kalman Filter; Probabilistic Data Association; biomedical images; cell motion; cell simultaneous monitoring; human sperm cells; massively data parallel computer; motion analysis; multiple targets; noisy environment; radar tracking algorithms; real time tracking; video frame rates; video images; visualised biological events; Algorithm design and analysis; Biology computing; Computerized monitoring; Humans; Image analysis; Image motion analysis; Motion analysis; Radar tracking; Target tracking; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413346

Filename

413346