An improved multi-layer codebook model to eliminate ghost region
Tapas Badal, Neeta Nain, Mushtaq Ahmed, Vishakha Sharma · 2015
Codebook model is a widely used method for segmenting foreground pixels. However, it often generates the erroneous detection results with a dynamic background. This paper proposed a multi-layer codebook model for segmenting foreground pixels and a separate layer is utilize to disparate static background from dynamic background. It improve processing speed as system keep history of uncovered background region. Proposed method reduces erroneous positive pixels detected conventionally as ghost region when pixel belongs to background suddenly start moving. To eliminate shadow/illumination effects cone shaped color distance map is utilized in lieu of cylindrical. During experimentation proposed method is tested over numerous videos with complex illumination and background situations. The experimental result shows improvement over rudimentary codebook model and other state-of-art background subtraction model by reducing erroneous positive pixels detected such as ghost region and enhance foreground detection.