Algorithms for tracking point targets in infrared sequences

L. Varsano, V. Adler, S. R. Rotman

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


This research addresses the problem of tracking a moving point target from a time sequence of images. The images consist of targets moving at sub-pixel velocity in backgrounds which are influenced by both evolving clutter and noise. The demand for a low false alarm rate on one hand and a high probability of detection on the other makes the tracking a challenging task. We propose the following algorithm in which target detection and tracking is performed by the means of time domain processing. A variance-filter based algorithm is used to detect the presence of targets from the temporal profile of each pixel while suppressing clutter specific influences.

Original languageEnglish
Article number59870W
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1 Dec 2005
EventElectro-Optical and Infrared Systems: Technology and Applications II - Bruges, Belgium
Duration: 26 Sep 200527 Sep 2005


  • Clutter suppression
  • Metrics
  • Temporal filters
  • Tracking point targets

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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