Combining Color, Depth, and Motion for Video Segmentation

Authors:
Jérôme Leens;Sébastien Piérard;Olivier Barnich;Marc Droogenbroeck;Jean-Marc Wagner
Affiliations:
Département Ingénieur Industriel, Haute École de la Province de Liège, Belgium;INTELIG Laboratory, Montefiore Institute, University of Liège, Belgium;INTELIG Laboratory, Montefiore Institute, University of Liège, Belgium;INTELIG Laboratory, Montefiore Institute, University of Liège, Belgium;Département Ingénieur Industriel, Haute École de la Province de Liège, Belgium
Venue:
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Year:
2009

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Abstract

This paper presents an innovative method to interpret the content of a video scene using a depth camera. Cameras that provide distance instead of color information are part of a promising young technology but they come with many difficulties: noisy signals, small resolution, and ambiguities, to cite a few. By taking advantage of the robustness to noise of a recent background subtraction algorithm, our method is able to extract useful information from the depth signals. We further enhance the robustness of the algorithm by combining this information with that of an RGB camera. In our experiments, we demonstrate this increased robustness and conclude by showing a practical example of an immersive application taking advantage of our algorithm.