Memory-based codebook model for real-time object detection

In order to improve codebook (CB) model by reducing its training procedure, we introduce the human memory mechanism into CB and a memory-based codebook model is proposed. The proposed method extracts both the background and foreground into codewords and training procedure is no longer necessary. Experimental results show that our method improves the processing speed and achieves better performance in handling background variations. In addition, the proposed method can be applied in real-time monitoring.