2009 | OriginalPaper | Chapter
Combining Color, Depth, and Motion for Video Segmentation
Authors : Jérôme Leens, Sébastien Piérard, Olivier Barnich, Marc Van Droogenbroeck, Jean-Marc Wagner
Published in: Computer Vision Systems
Publisher: Springer Berlin Heidelberg
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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.