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...
| Autores: | , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2012 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/55699 |
| Acceso en línea: | http://hdl.handle.net/10261/55699 |
| Access Level: | acceso abierto |
| Palabra clave: | Pattern recognition Video segmentation Mobile systems Stereo segmentation Visual front end |
| Sumario: | 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. |
|---|