基于姿态估计的安全帽佩戴检测方法研究.

The existing detection method of wearing safety helmet is difficult to detect in the complex posture of construction personnel,and its accuracy is not high.This paper proposed a detection method of wearing safety helmet based on posture estimation.This method used the residual network in the OpenPose pose estimation model to optimize feature extraction and obtained the skeleton point information of the constructor.This paper proposed a three-point positioning method to determine the head area through the position information of bone points to reduce the detection range.This method used RetinaNet to detect the wearing of the helmet in the head area to solve the problem of extreme imbalance between the helmet and the construction background.The experimental results show that this method has significantly improved detection accuracy than other methods,and is more adaptable to the environment. [ABSTRACT FROM AUTHOR]