Improving variance estimation ratio score calculation for slow moving point targets detection in infrared imagery sequences

Revital Huber-Shalem, Ofer Hadar, Stanley R. Rotman, Merav Huber-Lerner, Stanislav Evstigneev

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

2 Scopus citations


Infrared (IR) imagery sequences are commonly used for detecting moving targets in the presence of evolving cloud clutter or background noise. This research focuses on slow moving point targets that are less than one pixel in size, such as aircraft at long ranges from a sensor. The target detection performance is measured via the variance estimation ratio score (VERS), which essentially calculates the pixel scores of the sequences, where a high score indicates a target is suspected to traverse the pixel. VERS uses two parameters - long and short term windows, which were predetermined individually for each movie, depending on the target velocity and on the clouds intensity and amount, as opposed to clear sky (noise), in the background. In this work, we examine the correlation between the sequences' spatial and temporal features and these two windows. In addition, we modify VERS calculation, to enhance target detection and decrease cloud-edge scores and false detection. We conclude this work by evaluating VERS as a detection measure, using its original version and its modified version. The test sequences are both original real IR sequences as well as their relative compressed sequences using our designated temporal DCT quantization method.

Original languageEnglish
Title of host publicationSignal and Data Processing of Small Targets 2013
StatePublished - 8 Nov 2013
EventSignal and Data Processing of Small Targets 2013 - San Diego, CA, United States
Duration: 28 Aug 201329 Aug 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceSignal and Data Processing of Small Targets 2013
Country/TerritoryUnited States
CitySan Diego, CA


  • compression
  • cosine filter
  • discrete cosine transform (DCT)
  • infrared (IR) imagery
  • spatial characteristics
  • temporal characteristics
  • variance estimation ratio score

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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