Research Progress on Human Behavior Detection in Hazardous Chemical Accident Scenes Based on Machine Vision
Accidents in the hazardous chemical indus-try are characterized by the high flammability and ex-plosiveness of the materials involved,as well as the high temperature and pressure of the production process.When an accident occurs,the timely and ef-fective emergency response largely determines the subsequent development of the accident.Human e-mergency response behavior is crucial in the rescue process.In recent years,a large number of machine vision based methods for identifying human factors in hazardous chemical accident scenarios have been pro-posed.The existing machine vision based methods for detecting human behavior in hazardous chemical scenes was sorted out,and the experimental dataset of human behavior detection in hazardous chemical scenes was summarized to provide new references for subsequent related research.The relevant experimen-tal datasets were introduced,and the performance of existing methods through experiments was compared and analyzed.Firstly,the human behavior detection methods for hazardous chemical scenes based on ma-chine vision in recent years were introduced.Then the advantages and disadvantages of different methods were comprehensively summarized,and their applica-ble scenarios were analyzed.Subsequently,statistical analysis was conducted on the existing dataset of hu-man behavior detection in hazardous chemical acci-dent scenarios,and the detection dataset was classi-fied according to data types.The problems and im-provement methods in the existing dataset were pro-posed.Finally,the development trend of human be-havior detection in hazardous chemical accident sce-narios based on machine vision was discussed.
hazardous chemical accidentsintelligent video surveillance systemhuman behaviormachine visionbehavior recognitionbehavior detection methods
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