Real-time segmentation of stereo videos on a portable system with a mobile GPU
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 segmen...
| Authors: | , , , , |
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| Format: | article |
| Status: | Versión aceptada para publicación |
| Publication Date: | 2012 |
| Country: | España |
| Institution: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repository: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/55699 |
| Online Access: | http://hdl.handle.net/10261/55699 |
| Access Level: | Open access |
| Keyword: | Pattern recognition Video segmentation Mobile systems Stereo segmentation Visual front end |
| Summary: | 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. |
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