Abnormal Detection based on Conditional Random Fields and Background Scene Partition
Yu Hao · Communications technology · 2013
Considering nowadays that the human behavioral detection system is mostly based on the short description of target image,a method of abnormal detection based on CRF(conditional random fields) and background zoning is proposed.The method uses GMMs model to extract target,get the coordinates of target,and combines the background scene classification.And the coordinates and the zoned background are used to build the CRFs model,then the CRFs model is used to calculate the probability belonging to different kinds of abnormal behavior,and classify the abnormal behavior in test video.This method is compared with the method with HMMs model.Experiment indicates that this method with CRFs could make full use of the Long-range features,and thus improve the detection rate.