An efficacious medical video segmentation approach with a moving camera

Xiaochun Zou, Xinbo Zhao, Zheru Chi

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


This paper presents a novel algorithm for segmenting moving objects from a moving background scene that contains complex camera motion using gray or color medical videos. We develop a robust and efficiently background subtraction algorithm that is able to cope with local scene changes, as well as globe scene changes caused by camera motion. The algorithm is based on a proposed multi-panorama reconstruction method, which partitions the medical video sequence into a number of segments, for which independent panoramas are synthesized. The background subtraction in our method, which introduces risk maps to account for the problem that the background image may not be perfectly aligned to the input images, greatly improves the foreground separation even on the object boundary. We have applied this method to medical image sequences. The results, which demonstrate the system's performance, and some refinement techniques we employed in our implementation are also shown.
Original languageEnglish
Title of host publicationICCH 2012 Proceedings - International Conference on Computerized Healthcare
PublisherIEEE Computer Society
Number of pages4
ISBN (Print)9781467351294
Publication statusPublished - 1 Jan 2012
Event2012 International Conference on Computerized Healthcare, ICCH 2012 - Hong Kong, Hong Kong
Duration: 17 Dec 201218 Dec 2012


Conference2012 International Conference on Computerized Healthcare, ICCH 2012
Country/TerritoryHong Kong
CityHong Kong


  • Background Subtraction
  • Motion estimation
  • Panorama Reconstruction
  • Video Segmentation

ASJC Scopus subject areas

  • Health Informatics

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