Region-based tracking of protein compounds

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Tagging and tracking protein compounds/compounds are key to a better understanding of proteomics such as protein-protein interaction and protein signaling pathway. In this paper, a generalized region tracking framework by statistical particle filter (PF) is presented for tracing the movement of protein compounds in confocal microscopy images. To effectively select the features to be tracked, a grid-based minimum variance spatial sampling method is developed. A similarity distance function is presented for feature correspondence finding. The experimental results demonstrate the tracking performance of the proposed framework for small size protein objects with irregular motions and large shape deformation in highly cluttered environment.

Original languageEnglish (US)
Title of host publication2006 3rd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Pages574-577
Number of pages4
StatePublished - Nov 17 2006
Event2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, United States
Duration: Apr 6 2006Apr 9 2006

Publication series

Name2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Volume2006

Other

Other2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro
CountryUnited States
CityArlington, VA
Period4/6/064/9/06

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Region-based tracking of protein compounds'. Together they form a unique fingerprint.

Cite this