An abnormal behavior recognition method of intelligent construction site based on Markov random field

Aiming at the problems of poor accuracy and efficiency of intelligent construction site behavior anomaly recognition, this paper proposes a method of intelligent construction site behavior anomaly recognition based on Markov random field. The video clip conversion is used to complete the image acquisition of abnormal behavior of smart construction site. Build an image data set of abnormal behaviors of intelligent construction site, and use feature word mining to achieve intelligent construction site behavior classification and image processing of abnormal behaviors of intelligent construction site. Based on the classification of abnormal behavior images of intelligent construction site in Markov random field, the identification function of abnormal behavior of intelligent construction site is constructed, and the result of abnormal behavior identification of intelligent construction site is obtained. The experimental results show that the method in this paper takes only 22.6s to identify the abnormal behavior of intelligent construction site, the recognition accuracy is 99.6%, which shows that the method in this paper has a good effect on identifying the abnormal behavior of intelligent construction site.