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  • Research Article
  • Open Access

BigBackground-Based Illumination Compensation for Surveillance Video

  • 1Email author,
  • 1,
  • 1,
  • 1 and
  • 1
EURASIP Journal on Image and Video Processing20102011:171363

  • Received: 25 April 2010
  • Accepted: 13 December 2010
  • Published:


Illumination changes cause challenging problems for video surveillance algorithms, as objects of interest become masked by changes in background appearance. It is desired for such algorithms to maintain a consistent perception of a scene regardless of illumination variation. This work introduces a concept we call BigBackground, which is a model for representing large, persistent scene features based on chromatic self-similarity. This model is found to comprise 50% to 90% of surveillance scenes. The large, stable regions represented by the model are used as reference points for performing illumination compensation. The presented compensation technique is demonstrated to decrease improper false-positive classification of background pixels by an average of 83% compared to the uncompensated case and by 25% to 43% compared to compensation techniques from the literature.


  • Pattern Recognition
  • Computer Vision
  • Reference Point
  • Stable Region
  • Challenging Problem

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Authors’ Affiliations

School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA