Conteo de personas con un sensor RGBD comercial

M. Castrillón Santana; J. Lorenzo Navarro; D. Hernández Sosa

doi:10.1016/j.riai.2014.05.006

Autores/as

M. Castrillón Santana Universidad de Las Palmas de Gran Canaria
J. Lorenzo Navarro Universidad de Las Palmas de Gran Canaria
D. Hernández Sosa Universidad de Las Palmas de Gran Canaria

DOI:

https://doi.org/10.1016/j.riai.2014.05.006

Palabras clave:

Conteo de personas, cámaras de profundidad, detección de eventos, detección de objetos

Resumen

En este trabajo se demuestra que la información de profundidad proporcionada por una cámara RGBD comercial de bajo coste, es una fuente fiable de datos para realizar de forma robusta el conteo automático de personas. La adopción de una configuración de vista cenital reduce la complejidad del problema, al mismo tiempo que permite preservar la privacidad de las personas moni- torizadas. Para llevar a cabo el estudio experimental se han considerado dos técnicas propias del campo de análisis de imágenes 2D trasladadas al contexto de imágenes de profundidad. Las pruebas evaluaron su rendimiento con v́ıdeos reales sin restricciones de iluminación, incluyendo episodios de iluminación cambiante o muy baja. En este conjunto experimental se realizó la detección, seguimiento y análisis de patrones de comportamiento de las personas que cruzaban el campo de visión. Los resultados obtenidos alcanzan una tasa de acierto próxima al 95%, superando los obtenidos con técnicas actuales basadas exclusivamente en información visual. Estos resultados sugieren la utilidad del uso de información de profundidad en esta tarea particular.

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Biografía del autor/a

M. Castrillón Santana, Universidad de Las Palmas de Gran Canaria

SIANI

J. Lorenzo Navarro, Universidad de Las Palmas de Gran Canaria

SIANI

D. Hernández Sosa, Universidad de Las Palmas de Gran Canaria

SIANI

Citas

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