Prediction of mass emergency events based on molecular thermal motion algorithm

Because of the occurrence of mass incidents in public places in China, the society has put forward higher requirements for the monitoring of the group anomaly. In this paper, from the point of view of molecular thermal motion, the crowd pixel is modeled as a moving molecule to predict the mass emergencies. In order to improve the efficiency of the pre judge, classify the population density on the basis of the linear relationship between the number of people and the number of molecules, and in view of the high population density and the very high population density, through molecular thermal motion algorithm to extract the rate of population distribution law and thus build speed distribution function, using SVM to determine groups of abnormal behavior, completing the anticipation of group incidents finally.