Adaptive detection for tracking moving biological objects in video microscopy sequences

Author

Ngoc, Sébastien Nguyen ; Briquet-Laugier, Frédéric ; Boulin, Christian ; Olivo, Jean-Christophe

Author_Institution

Eur. Molecular Biol. Lab., Heidelberg, Germany

Volume

3

fYear

1997

Firstpage

484

Abstract

We present a method to detect and track multiple moving biological objects in images acquired by video microscopy. The automatic detection is based upon the correlation of the image with a filter which varies adaptively to represent an object as it moves and deforms. The tracking is performed using a Kalman filter and a cost function which enable the position of the moving objects to be predicted, refined and updated. The efficiency of the method has been tested on real biological image sequences and is illustrated by results obtained from the analysis of typical biological video microscopy sequences

Keywords

adaptive Kalman filters; adaptive signal detection; biological techniques; cell motility; correlation methods; image sequences; microscopy; motion estimation; tracking filters; video signal processing; Kalman filter; adaptive detection; adaptive filter; automatic detection; biological image sequences; biological video microscopy sequences; cell biology; cost function; image correlation; motility analysis; moving biological objects tracking; Adaptive filters; Cells (biology); Cost function; Fluorescence; Laboratories; Object detection; Optical films; Optical microscopy; Sequences; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1997. Proceedings., International Conference on

Conference_Location

Santa Barbara, CA

Print_ISBN

0-8186-8183-7

Type

conf

DOI

10.1109/ICIP.1997.632163

Filename

632163