@inproceedings{2402441354cb4c1aa24a8f450decd879,
title = "Modelling of pedestrian groups and application to group recognition",
abstract = "In analysing the movement and interaction of pedestrians it is very important to take into account the social groups they form. In this paper we describe the work we have done on the modelling of the spatial formations of socially interacting groups of pedestrians. We than explain the application of the obtained statistical models to the automatic detection of pedestrians who are in a group. The results show that a high detection accuracy can be achieved.",
author = "D. Br{\v s}{\v c}i{\'c} and F. Zanlungo and T. Kanda",
year = "2017",
month = jul,
day = "10",
doi = "10.23919/MIPRO.2017.7973489",
language = "English",
series = "2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2017 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "564--569",
editor = "Marina Cicin-Sain and Filip Hormot and Grbac, {Tihana Galinac} and Boris Vrdoljak and Edvard Tijan and Karolj Skala and Slobodan Ribaric and Stjepan Gros and Vlado Sruk and Mladen Mauher and Petar Biljanovic and Marko Koricic",
booktitle = "2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2017 - Proceedings",
note = "40th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2017 ; Conference date: 22-05-2017 Through 26-05-2017",
}