- Research Article
- Open Access
BigBackground-Based Illumination Compensation for Surveillance Video
EURASIP Journal on Image and Video Processing volume 2011, Article number: 171363 (2011)
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.
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Bales, M.R., Forsthoefel, D., Valentine, B. et al. BigBackground-Based Illumination Compensation for Surveillance Video. J Image Video Proc. 2011, 171363 (2011). https://doi.org/10.1155/2011/171363
- Pattern Recognition
- Computer Vision
- Reference Point
- Stable Region
- Challenging Problem