In mobile robotic applications, visual information needs to be processed fast despite resource limitations of the mobile system. Here a novel real-time framework for model-free spatio-temporal segmentation of stereo videos is presented. It combines real-time optical flow and stereo with image segmentation and runs on a portable system with an integrated mobile GPU. The system performs on-line, automatic and dense segmentation of stereo videos and serves as a visual front-end for preprocessing in mobile robots, providing a condensed representation of the scene which can potentially be utilized in various applications, e.g., object manipulation, manipulation recognition, visual servoing. The method was tested on real-world sequences with arbitrary motions including videos acquired with a moving camera. ; The work has received funding from the European Community’s Seventh Framework Programme FP7/2007-2013 (Specific Programme Cooperation, Theme 3, Information and Communication Technologies) under grant agreement no. 269959, IntellAct. B. Dellen was supported by the Spanish Ministry for Science and Innovation via a Ramon y Cajal fellowship. K. Pauwels acknowledges support from the Spanish Ministry for Science and Innovation via a Juan de la Cierva fellowship (JCI-2011-11019). ; Peer reviewed
Real-time segmentation of stereo videos on a portable system with a mobile GPU
2012-01-01
doi:10.1109/TCSVT.2012.2199389
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC: | 629 |
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