Distributed object tracking with robot and disjoint camera networks
| Data(s) |
21/03/2011
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| Resumo |
We describe a novel two stage approach to object localization and tracking using a network of wireless cameras and a mobile robot. In the first stage, a robot travels through the camera network while updating its position in a global coordinate frame which it broadcasts to the cameras. The cameras use this information, along with image plane location of the robot, to compute a mapping from their image planes to the global coordinate frame. This is combined with an occupancy map generated by the robot during the mapping process to track the objects. We present results with a nine node indoor camera network to demonstrate that this approach is feasible and offers acceptable level of accuracy in terms of object locations. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
IEEE Xplore |
| Relação |
http://eprints.qut.edu.au/41119/1/paper.pdf DOI:10.1109/PERCOMW.2011.5766911 Liu, Junbin, Wark, Tim, Martin, Steven Colin, Corke, Peter, & D'Souza, Matthew (2011) Distributed object tracking with robot and disjoint camera networks. In Proceedings of the PerCom - WORKSHOPS 2011 : 2011 IEEE International Conference on Pervasive Computing and Communications Workshop, IEEE Xplore, Renaissance Seattle Hotel, Seattle, pp. 380-383. |
| Direitos |
Copyright 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
| Fonte |
Faculty of Built Environment and Engineering; Information Security Institute; School of Engineering Systems |
| Palavras-Chave | #080104 Computer Vision #080504 Ubiquitous Computing #Smart Camera #Calibration #Object Localization #Tracking #Robot |
| Tipo |
Conference Paper |
