Title :
Abnormality analysis for densely-populated public places based on Bayesian inference forecasting
Author :
Qinglan Ma ; Chao Qi
Author_Institution :
Institute of Systems Engineering, Key Laboratory of Image Processing and Intelligent, Control of Ministry of Education, Huazhong University of Science and Technology, Wuhan Hubei 430074, China
Abstract :
Gathering is an important sign of social security event in public places. Timely detection of abnormal gathering contributes to effective warning, thereby avoiding the occurrence of serious events. In this paper, we identify abnormal situation according to a reasonable safe range based on people flow characteristics of public places. We employ Bayesian inference forecasting approach to cope with emergency forecasting and early warning.
Keywords :
Bayes methods; Forecasting; Gaussian distribution; Security; Video surveillance; Weather forecasting; Bayesian inference forecasting; early warning; social security event;
Conference_Titel :
Conference Anthology, IEEE
Conference_Location :
China
DOI :
10.1109/ANTHOLOGY.2013.6785017
