Automatically characterizing groups and crowds of people plays an important role in different domains such as psychology, architecture or entertainment. In the engineering field, people grouping is important in social signal processing but also videosurveilance. Our challenge is to introduce such solutions into the field of augmented reality, where people get added content on real groups of people.As a preliminary work, this paper presents a system which provides a live visual feedback in virtual reality augmenting real groups of people with added information such as their ID, group ID or group coherence. The scene was analyzed with mainly one classical RGB camera and enhanced with a smartphone that a holder points towards the other persons.
Mancas, M., Laraba, S., Bandrabur, A., De Deken, P.-H., Hagihara, K., Leblanc, N., Yengec Tasdemir, S., Macq, B., & Dutoit, T. (2018). People groups analysis for ar applications. 2018 International Conference on 3D Immersion (IC3D). https://hdl.handle.net/2078.5/254282