Point target tracking in a whitened IR sequence of images using dynamic programing approach

Ofir Nichtern, S. R. Rotman

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

5 Scopus citations

Abstract

In this paper, a novel tracking system based on the Track Before Detect Approach (TBD) is introduced. Each IR sequence is preprocessed first by using a whitening algorithm. This stage is used to reject clutter and emphasize targets. Afterwards, a Dynamic Programming Algorithm (DPA) is used for numerous frames in the sequence. The algorithm, a derivative of the well known Viterbi Algorithm, gives each pixel in the image a score based on the current frame and the previous one. By doing so, the temporal behavior difference between targets, clutter and noise is utilized to distinguish between them; we give scores accordingly. At the end of this stage, after the last frame of the IR sequence has been processed, the pixel with the highest accumulated score is chosen as the Target, and its path is found. The paper deals with the different issues characterizing the system, enabling it to have versatility over a wide range of scenes. Future work will involve the use of the system for tracking of targets in hyperspectral cubes.

Original languageEnglish
Title of host publicationElectro-Optical and Infrared Systems
Subtitle of host publicationTechnology and Applications III
PublisherSPIE
ISBN (Print)0819464937, 9780819464934
DOIs
StatePublished - 1 Jan 2006
EventElectro-Optical and Infrared Systems: Technology and Applications III - Stockholm, Sweden
Duration: 13 Sep 200614 Sep 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6395
ISSN (Print)0277-786X

Conference

ConferenceElectro-Optical and Infrared Systems: Technology and Applications III
Country/TerritorySweden
CityStockholm
Period13/09/0614/09/06

Keywords

  • Clutter
  • DPA
  • IR sequence
  • TBD
  • Tracking

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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