Memory-based codebook modeling for real-time object detection

Key words:  codebook  three-stage memory model  memory-based codebook  background modeling  object detection

Abstract:

Codebook modeling builds codebook through offline training before segmentation, which will affect its real-time application to some extent. In order to tackle this problem, in this paper, three-stage memory mechanism is introduced into the construction and updating process of codewords and a memory-based codebook model (MCB) which is capable of online learning is proposed. The sequential information of each pixel is abstracted into codewords which are classified by imitating some cognitive behaviors such as memorization, forgetting, and recall. Experimental results demonstrate that our method not only improves real timing but also is much more adaptive to the scenes with sudden changes than the original model. In addition, the proposed method can be applied in traffic monitoring.