Moving object detection and tracking in fur images acquired by a looming platform

Baoxin Li, Qinfen Zheng, Rama Chellappa, Sander Der

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

1 Scopus citations

Abstract

Forward Looking InfraRed (FLIR) video from fast moving platforms suffers from high levels of egomotion and is often obtained in poor conditions including low light, low resolution and periodic obscurement, which makes target detection and tracking hard. In this paper we propose an algorithmic framework which integrates image sequence stabilization, moving target detection and segmentation, target tracking, and super-resolution approaches and forms a front-end of the Automatic Target Recognition system.

Original languageEnglish (US)
Title of host publicationProceedings of the Joint Conference on Information Sciences
EditorsK. Li, Y. Pan, P.P. Wang, A. Al-Dhelaan, H. Da Cheng, Y. Pan, P.P. Wang, K. Li, A. Al-Dhelaan, H. Da Cheng
Pages319-321
Number of pages3
Volume4
StatePublished - 1998
Externally publishedYes
Event4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4 - Research Triangle Park, NC, United States
Duration: Oct 23 1998Oct 28 1998

Other

Other4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4
Country/TerritoryUnited States
CityResearch Triangle Park, NC
Period10/23/9810/28/98

ASJC Scopus subject areas

  • Computer Science(all)

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