Improving subviral particle tracks in fluoroscopic image sequences by global motion compensation

Abstract: Automatic detection and tracking of subviral particles in image sequences is an indispensable supportive method for modern medicine research programs. This paper describes the development of a highly adaptable camera-to-world system motion invariant tracking algorithm. A translation compensation is obtained by cross correlations. Particles are detected by an implemented existing algorithm. The detected particles are linked by solving a Linear Assignment Problem. For highly stable results the tracks are improved by Kalman filtering. The algorithm is tested on simulated sequences. The results show a great ability for stable tracking.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Improving subviral particle tracks in fluoroscopic image sequences by global motion compensation ; volume:3 ; number:2 ; year:2017 ; pages:211-215 ; extent:5 ; Current directions in biomedical engineering ; 3, Heft 2 (2017), 211-215 (gesamt 5)

Contributors, Places and Time

• Creator: Rausch, Andreas ; Schanze, Thomas

Further information

• DOI: 10.1515/cdbme-2017-0044
• URN: urn:nbn:de:101:1-2023030713162145287047
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:44 AM CEST