Willert, Volker ; Schmüdderich, Jens ; Eggert, Julian ; Goerick, Christian ; Körner, Edgar (2008)
Probabilistic Optical Flow Estimation for Large Pixel Displacements Utilizing Egomotion Flow Compensation.
19th British Machine Vision Conference. Leeds, United Kingdom (01.-04.09.2008)
doi: 10.5244/C.22.69
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
The pixel movements in an image sequence grabbed by a camera that is mounted on a mobile platform comprise the superposition of several mo- tion components. These motion components are caused by the egomotion of the camera and by the different movements of the objects seen by the cam- era. Utilizing sensory information from a calibrated stereo rig and egomotion measurements of the mobile platform we develop a probabilistic framework that estimates optical flow relative to the visual flow induced by the egomo- tion. Despite rapid egomotion changes and a large range of pixel movements the proposed Dynamic Bayesian Network allows to infer the optical flow in- duced by moving objects. This is used to segregate moving individuals from static background while the stereo rig is moving. We present optical flow and figure-background segmentation results by applying this general frame- work to image sequences captured by the humanoid robot ASIMO while he is walking and observing moving people.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2008 |
| Autor(en): | Willert, Volker ; Schmüdderich, Jens ; Eggert, Julian ; Goerick, Christian ; Körner, Edgar |
| Art des Eintrags: | Bibliographie |
| Titel: | Probabilistic Optical Flow Estimation for Large Pixel Displacements Utilizing Egomotion Flow Compensation |
| Sprache: | Englisch |
| Publikationsjahr: | September 2008 |
| Verlag: | British Machine Vision Association and Society for Pattern Recognition |
| Buchtitel: | Proceedings of the British Machine Vision Conference 2008 |
| Veranstaltungstitel: | 19th British Machine Vision Conference |
| Veranstaltungsort: | Leeds, United Kingdom |
| Veranstaltungsdatum: | 01.-04.09.2008 |
| DOI: | 10.5244/C.22.69 |
| Kurzbeschreibung (Abstract): | The pixel movements in an image sequence grabbed by a camera that is mounted on a mobile platform comprise the superposition of several mo- tion components. These motion components are caused by the egomotion of the camera and by the different movements of the objects seen by the cam- era. Utilizing sensory information from a calibrated stereo rig and egomotion measurements of the mobile platform we develop a probabilistic framework that estimates optical flow relative to the visual flow induced by the egomo- tion. Despite rapid egomotion changes and a large range of pixel movements the proposed Dynamic Bayesian Network allows to infer the optical flow in- duced by moving objects. This is used to segregate moving individuals from static background while the stereo rig is moving. We present optical flow and figure-background segmentation results by applying this general frame- work to image sequences captured by the humanoid robot ASIMO while he is walking and observing moving people. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik > Regelungsmethoden und Robotik (ab 01.08.2022 umbenannt in Regelungsmethoden und Intelligente Systeme) |
| Hinterlegungsdatum: | 16 Aug 2010 14:33 |
| Letzte Änderung: | 18 Apr 2023 12:28 |
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