Evaluation of a Foreground Segmentation Algorithm for 3D Camera Sensors

Authors:
Luca Bianchi;Piercarlo Dondi;Riccardo Gatti;Luca Lombardi;Paolo Lombardi
Affiliations:
Dept. of Computer Engineering and System Science, University of Pavia, Pavia, Italy 27100;Dept. of Computer Engineering and System Science, University of Pavia, Pavia, Italy 27100;Dept. of Computer Engineering and System Science, University of Pavia, Pavia, Italy 27100;Dept. of Computer Engineering and System Science, University of Pavia, Pavia, Italy 27100;Dept. of Computer Engineering and System Science, University of Pavia, Pavia, Italy 27100
Venue:
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Year:
2009

Citing 2
Cited 1

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Abstract

Our interest is focusing on the innovative time-of-flight (TOF) cameras. In this paper we present our approach to foreground segmentation, based on smart-seeded region growing. The seeding strategy makes use of the characteristic intensity signal provided by TOF cameras, and growing is proved by experimental measurements to produce a pixel-wise segmentation of 82%-92% quality. Compared to background subtraction, our approach uses more explicitly the unique capacity of TOF cameras to isolate foreground objects on the basis of their distance. Our work will find an application in gate monitoring and passage surveillance.