Mass Events Warning in Terminal Based on Crowds' External Distribution Characteristics Analysis
Hang Zhou · Science Technology and Engineering · 2012
With video data from the terminal's video surveillance system,video is pretreated,population and density of the crowd can be extracted from the processed images.The former videos and emergencies from monitoring regions are analyzed with statistics,the normal and abnormal densities and characteristics of crowds' external distribution are studied,and the early warning rule base is built,too.With warning rules,on the basis of crowd's density is identified,the normal crowds' densities and characteristics of crowds' external distribution are identified.According to the temporal characteristics of the mass events,the events are warned with different rules for different events at different time and different areas.According to the warning information and mass events in airports,the relevant decision-supports can be given.