A Novel Technology in Surveillance Video for Detecting and Forecasting a Robbing Incident
Da Peng Gao, Qing Xing Zhu · Applied Mechanics and Materials · 2012
In this paper, a novel technology, which detects and forecasts human's abnormal behavior, is proposed. Taking an abnormal behavior, the robbery, as an example, the accuracy of the technology is demonstrated successfully. There are 3 innovations in this paper. A) A robbery incident is divided into 5 phases occurred orderly. By its order, a robbery is detected. B) By human body's motion character, the human body's speeds are measured in different areas and at different times. It improves the accuracy rate of a classifier. C) The technology can forecast an abnormal human behavior in a short time advance. Experiment shows that the technology detecting and forecasting accuracy are high enough to be used in practice.