Novel Automatic Human-Height Measurement Using a Digital Camera

Rui Tian, Limeng Pu, Hsiao‐Chun Wu, Yiyan Wu · 2018

Nowadays, automatic object-size measurement (AOSM) techniques are in high demand since there are numerous applications including three-dimensional multimedia entertainment games, cyber-physical interaction, and real-time geographical survey. When a scene is complex with many objects, the AOSM problem is quite challenging because it is very hard to describe the object of interest a priori. In this paper, we present a novel efficient automatic human-height measurement scheme using a single camera. Our proposed new scheme is very robust so that the heights of multiple persons within the scene can be estimated automatically and simultaneously. The experimental results demonstrate that the average error percentage is less than 2% in general.

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