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.
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Ottonelli, S., Spagnolo, P., Mazzeo, P.L., Leo, M. (2013). Foreground Segmentation by Combining Color and Depth Images. In: Sanches, J.M., Micó, L., Cardoso, J.S. (eds) Pattern Recognition and Image Analysis. IbPRIA 2013. Lecture Notes in Computer Science, vol 7887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38628-2_83
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DOI: https://doi.org/10.1007/978-3-642-38628-2_83
Publisher Name: Springer, Berlin, Heidelberg
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