Filtro mediana recursivo para la estimación de fondo y segmentación de primer plano en videos de vigilancia
Recursive Median Filter for Background Estimation and Foreground Segmentation in Surveillance Videos
Freddy Alexander Díaz González y David Alejandro Arévalo Suárez
Universidad Sergio Arboleda, Colombia. freddy.diaz@correo.usa.edu.co, david.arevalo@correo.usa.edu.co
]]> Autor de correspondencia es Freddy A. Díaz González.
Artículo recibido el 13/08/2014.
Aceptado el 17/04/2015.
Resumen
El uso de cámaras de video es ampliamente usado en los sistemas de vigilancia, y ofrece la posibilidad de realizar el procesamiento de las imágenes capturadas para la detección automática de eventos de interés que se puedan presentar en la escena. El siguiente trabajo propone un método de estimación del fondo y segmentación del primer plano en videos de vigilancia, mediante el uso de un filtro mediana recursivo, con la aplicación de una ventana móvil temporal en la cantidad de fotogramas a analizar, que ofrezcan una mayor robustez frente al ruido causado por los cambios de iluminación y vibraciones de la cámara, limitando el incremento del costo computacional durante el procesamiento.
Palabras clave: Mediana temporal, estimación de fondo, primer plano, recurrencia.
Abstract
]]> Video cameras are widely used in surveillance systems; this offers the possibility of processing the captured images for automatic detection of events of interest that may arise in the scene. The present paper proposes a method for estimating the background and foreground segmentation in video surveillance using a recursive median filter and applying a temporal moving window in the number of frames to be analyzed, which provide more robustness against noise caused by changes in illumination and camera shake, limiting the increase in the computational cost of processing.Keywords: Temporal median, background subtraction, foreground, recurrence.
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