@inproceedings{caf0ce0693ed4626b6224b52d7368df4,
title = "Visual recognition to access and analyze people density and flow patterns in indoor environments",
abstract = "This work describes our experience developing a system to access density and flow of people in large indoor spaces using a network of RGB cameras. The proposed system is based on a set of overlapped and calibrated cameras. This facilitates the use of geometric constraints that help to reduce visual ambiguities. These constraints are combined with classifiers based on visual appearance to produce an efficient and robust method to detect and track humans. In this work, we argue that flow and density of people are low level measurements that need to be complemented with suitable analytic tools to bridge semantic gaps and become useful information for a target application. Consequently, we also propose a set of analytic tools that help a human user to effectively take advantage of the measurements provided by the system. Finally, we report results that demonstrate the relevance of the proposed ideas.",
author = "C. Ruz and C. Pieringer and B. Peralta and I. Lillo and P. Espinace and R. Gonzalez and B. Wendt and D. Mery and A. Soto",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015 ; Conference date: 05-01-2015 Through 09-01-2015",
year = "2015",
month = jan,
day = "1",
doi = "10.1109/WACV.2015.8",
language = "English",
series = "Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--8",
booktitle = "Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015",
address = "United States",
}