Target detection and tracking in forward-looking infrared image sequences using multiscale morphological filters

Xin Hu, Shuo Tang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

In this paper, we propose a robust approach for detection and tracking targets in forward looking infrared (FLIR) imagery taken from an airborne moving platform. Based on target intensity and shape information, motion criteria, the proposed algorithm involves three modules. Firstly, we use multiscale morphological filters to remove noise and clutter in tracking window. Secondly, target is detected by segment the image to produce a binary image. In the last step, our algorithm uses spatial-temporal connectivity to detect and track true target. The experiments performed on FLIR image sequences, show the robustness of the proposed approach.

Original languageEnglish
Title of host publicationISPA 2007 - Proceedings of the 5th International Symposium on Image and Signal Processing and Analysis
Pages25-28
Number of pages4
DOIs
StatePublished - 2007
EventISPA 2007 - 5th International Symposium on Image and Signal Processing and Analysis - Istanbul, Turkey
Duration: 27 Sep 200729 Sep 2007

Publication series

NameISPA 2007 - Proceedings of the 5th International Symposium on Image and Signal Processing and Analysis

Conference

ConferenceISPA 2007 - 5th International Symposium on Image and Signal Processing and Analysis
Country/TerritoryTurkey
CityIstanbul
Period27/09/0729/09/07

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