Superpixel-based online wagging one-class ensemble for feature selection in foreground/background separation.

•A novel and more efficient/suitable methodology for selecting features based on wagging.•Less computation time and memory requirement by using a super-pixel-based approach.•An efficient mechanism AIC-EP to eliminate the features that will not have impact on the final set.•Experiments with a multispectral and a RGB-datasets.