Hierarchical CodeBook for background subtraction in MRF

• We discuss a background subtraction model consisted of block stage and pixel stage.
• Block-based stage is aimed at reducing memory consumption.
• Pixel-based stage is to improve detection accuracy.
• This hierarchical approach possesses a higher accuracy.
• The update speed is of real-time level and memory usage maintains acceptable.

Foreground detection is the key low-level fundamental work in intelligent video surveillance. This paper proposed a hierarchical background subtraction algorithm consisted of block-based stage and pixel-based stage for it. In block-based stage, obvious backgrounds got detected via block-based CodeBook, leaving spatial relations among suspicious foreground pixels undestroyed. Pixel-based stage further eliminated the left background pixels with the introduction of spatial and temporal relations in a MRF-MAP framework. Then comparative experiments were conducted to evaluate the performance of the scheme in three dimensions – detection accuracy, update speed and memory consumption. Proposed approach possesses the highest detection precision and consumes the second least memories. And the update speed is of real-time level.