Foreground segmentation by combining color and depth images

Year: 2013

Authors: Ottonelli S., Spagnolo P., Mazzeo P.L., Leo M.

Autors Affiliation: National Research Council Institute of Intelligent Systems for Automation Via Amendola 122/DO 70126 – Bari – Italy
National Research Council National Institute of Optics Via della Liberta’ 3 73010 Arnesano, Lecce – Italy

Abstract: Moving object detection is a crucial step in many application contexts such as people detection, action recognition, and visual surveillance for safety and security. The recent advance in depth camera technology has suggested the possibility to exploit a multi-sensor information (color and depth) in order to achieve better results in video segmentation. In this paper, we present a technique that combines depth and color image information and demonstrate its effectiveness through experiments performed on real image sequences recorded by means of a stereo camera.


Conference title:
Place: Berlin

KeyWords: RGBD sensor; background subtraction;