Real-Time Multiple Human Height Measurements With Occlusion Handling Using LiDAR and Camera of a Mobile Device

The measurement of height is a crucial indicator for assessing health and making informed decisions in various fields. Using a depth camera for height measurement has become popular due to its convenience and efficiency, as it does not require physical contact. However, this method has limitations, such as needing an unobstructed view of the body. To address this, we propose a height measurement mechanism using Light Detection and Ranging (LiDAR) in combination with a camera. By using LiDAR, we can obtain three-dimensional (3D) coordinates of the real-world and determine the lowest point on the ground. Additionally, we use a camera and face detection method to obtain two-dimensional (2D) coordinates of a human face. By combining these data, we can estimate a person's height, even if their body is obstructed, without requiring a reference length, specific camera position, or calibration. This method allows for the real-time measurement of multiple individuals using a modern mobile device with few limitations, making it suitable for use in crowded environments.