Abandoned luggage detection method based on multi-layer codebook model
基于多层码本模型的遗弃行李检测算法

This paper proposed a novel framework for detecting abandoned luggage in public places intelligently. Firstly created a multi-layer codebook model to detect the stable foreground of the scene as the suspicion regions. Then designed a new mechanism combined with HOG features to eliminate the influence of illumination change. At last, applied a human detector also based on HOG to eliminate the false alarms caused by pedestrians. Experiments demonstrate the algorithm is with low computing complexity and effective on standard databases. The method is also robust in complex scenes. The algorithm framework proposed in this paper can be applied in the monitoring system of public places.