Transformer station worker helmet wear detection method based on video analysis

Abstract

The invention discloses a transformer station worker helmet wear detection method based on video analysis. According to the method, a VIBE algorithm is selected to detect a motion target region and an HSV color characteristic preliminary positioning helmet region on the basis of a transformer station scene, Haar characteristics and HSV color space characteristics are acquired through selection and fusion, positive and negative helmet samples under the field scene are acquired, an Adaboost algorithm is utilized to carry out classifier training, fusion characteristics of a positioning helmet region are extracted and are sent to a trained helmet classifier to carry out characteristic matching detection, and thereby precise helmet identification positioning is realized. Compared with a traditional method, the method is advantaged in that high accuracy and good robustness are realized, a worker region can be rapidly and accurately positioned whether workers wear helmets or not and whether all personnel targets appear in a camera region or not, behaviors of wearing no helmets are timely warned, and hidden safety trouble is eliminated.

Description

Technical field [0001] This invention relates to the field of intelligent video surveillance. Background technique [0002] With the frequent occurrence of safety accidents of workers in substation sites, the detection of workers’ helmets and tracking alarms are of great significance to the safe production of the power industry. An effective monitoring method must be required. For workers in substation sites, they can work without a helmet. The phenomenon was discovered and reported to the police in time. The power industry is the lifeline of economic development, and substations are an important part of power production. The country is paying more and more attention to the safety of substations, and monitoring efforts are constantly increasing. Corresponding monitoring measures have been adopted in most substation sites across the country, effectively preventing the occurrence of major safety accidents. At present, the monitoring of the wearing of helmets by workers in substat...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention provides a method of helmet detection based on HSV color space features, Haar features, and Adaboost cascade classifier fusion, and t

Images