基于肢体尺寸的车内遗留儿童检测方法

Detection Method of Children Left in Car Based on Limb Size

为解决车内遗留儿童检测容易受到外界因素干扰的问题,提出了一种基于肢体尺寸的车内儿童遗留检测算法。首先使用OpenPose算法获得红外图上人体骨骼点的像素坐标,再利用相机内参和图片深度信息求取肢体尺寸,最后通过肢体尺寸拟合出车内乘员的体积进行成人或儿童的判断。试验结果表明,该方法相比于红外热传感器、电容传感器等其他方法准确性更高,不易受环境因素的干扰。

In order to solve the problem that the detection of children left in the car is easily disturbed by external factors,this paper proposed a detection algorithm for children left in the car based on limb size.First,the OpenPose algorithm was used to find the pixel coordinates of the human skeleton points on the infrared image,and then the camera internal parameters and picture depth information were used to calculate the limb size,and finally the body size was fitted to the volume of the occupants in the car for adult or child judgment.The experimental results show that this method has higher accuracy compared with other methods,such as infrared thermal sensor,capacitive sensor,is not easily disturbed by other environmental factors.