Visual recognition to access and analyze people density and flow patterns in indoor environments

C. Ruz, C. Pieringer, B. Peralta, I. Lillo, P. Espinace, R. Gonzalez, B. Wendt, D. Mery, A. Soto

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferencia

2 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1-8
Número de páginas8
ISBN (versión digital)9781479966820
DOI
EstadoPublicada - 1 ene 2015
Evento2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015 - Waikoloa, Estados Unidos
Duración: 5 ene 20159 ene 2015

Conferencia

Conferencia2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015
PaísEstados Unidos
CiudadWaikoloa
Período5/01/159/01/15

Áreas temáticas de ASJC Scopus

  • Informática aplicada
  • Visión artificial y reconocimiento de patrones

Huella Profundice en los temas de investigación de 'Visual recognition to access and analyze people density and flow patterns in indoor environments'. En conjunto forman una huella única.

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    Ruz, C., Pieringer, C., Peralta, B., Lillo, I., Espinace, P., Gonzalez, R., Wendt, B., Mery, D., & Soto, A. (2015). Visual recognition to access and analyze people density and flow patterns in indoor environments. En Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015 (pp. 1-8). [7045862] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WACV.2015.8