PTZ camera pose estimation by tracking a 3D target
| Contribuinte(s) |
Arai, Hirohiko |
|---|---|
| Data(s) |
2011
|
| Resumo |
We present a technique for estimating the 6DOF pose of a PTZ camera by tracking a single moving target in the image with known 3D position. This is useful in situations where it is not practical to measure the camera pose directly. Our application domain is estimating the pose of a PTZ camerso so that it can be used for automated GPS-based tracking and filming of UAV flight trials. We present results which show the technique is able to localize a PTZ after a short vision-tracked flight, and that the estimated pose is sufficiently accurate for the PTZ to then actively track a UAV based on GPS position data. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
IEEE Xplore |
| Relação |
http://eprints.qut.edu.au/44022/1/2011010509.E1.Corke.hrabar_icra_2011.pdf DOI:10.1109/ICRA.2011.5980380 Hrabar, Stefan, Corke, Peter, & Hilsenstein, Volker (2011) PTZ camera pose estimation by tracking a 3D target. In Arai, Hirohiko (Ed.) Proceedings of the 2011 IEEE International Conference on Robotics and Automation (ICRA), IEEE Xplore, Shanghai International Conference Center, Shanghai, pp. 240-247. |
| Direitos |
Copyright 2011 IEEE Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Fonte |
Faculty of Built Environment and Engineering; School of Engineering Systems |
| Palavras-Chave | #080101 Adaptive Agents and Intelligent Robotics #PTZ Camera #Visual Tracking #Camera Pose Estimation #Numerical Optimization |
| Tipo |
Conference Paper |
