Head Detection and Head Orientation Estimation of Infants during a Nap using Deep Learning
Makoto Hirose · IEEJ Transactions on Electronics Information and Systems · 2023
In this paper, we describe head detection and pose estimation of infants sleeping in a nursery school. Every year, there are many cases of infants dying from put in a prone sleeping position during nap time. Because a nursery teacher cares for several infants, and even if they pay attention, they cannot check on the condition of all the infants. We have been working on the development of a system that attaches a camera to the ceiling to take video of infants, detects infants of face down position, and sends alerts to the smartphone of a nursery teacher. Pose estimation focusing only on the infant's head cannot use existing methods for estimating face orientation because the infant's face may not be in the video. Therefore, we propose a two-step method for head detection and head orientation estimation. For head detection and head orientation estimation, YOLOv5 and VGG-16 with deep learning are employed to create a head detector and a head orientation estimator. Based on the experimental results, we will compare the accuracy of head detection and head orientation estimation with conventional methods, and verify their usefulness in the system.