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RI | Publications | Learning to Track Multiple People in Omnidirectional Video
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Learning to Track Multiple People in Omnidirectional Video
F. De la Torre Frade, C. Vallespi-Gonzalez, P. Rybski, M. Veloso, and T. Kanade
Proceedings of the 2005 IEEE International Conference on Robotics and Automation (ICRA-2005), April, 2005, pp. 4150 - 4155.
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| Abstract |
Meetings are a very important part of everyday life for professionals working in universities, companies or governmental institutions. We have designed a physical awareness system called CAMEO (Camera Assisted Meeting Event Observer), a hardware/software system to record and monitor people's activities in meetings. CAMEO captures a high resolution omnidirectional view of the meeting by stitching images coming from almost concentric cameras. Besides recording capability, CAMEO automatically detects people and learns a person-specific facial appearance model (PSFAM) for each of the participants. The PSFAMs allow more robust/reliable tracking and identification. In this paper, we describe the video-capturing device, photometric/geometric autocalibration process, and the multiple people tracking system. The effectiveness and robustness of the proposed system is demonstrated over several real-time experiments and a large data set of videos.
| Notes |
Sponsor: DARPA
Associated center: VASC
Associated labs/groups: MultiRobot Lab and People Image Analysis Consortium
Associated project: Camera Assisted Meeting Event Observer
Number of pages: 6
| Text Reference |
F. De la Torre Frade, C. Vallespi-Gonzalez, P. Rybski, M. Veloso, and T. Kanade, "Learning to Track Multiple People in Omnidirectional Video," Proceedings of the 2005 IEEE International Conference on Robotics and Automation (ICRA-2005), April, 2005, pp. 4150 - 4155.
| BibTeX Reference |
@inproceedings{De la Torre Frade_2005_4910,
author = "Fernando De la Torre Frade and Carlos Vallespi-Gonzalez and Paul Rybski and Manuela Veloso and Takeo Kanade",
title = "Learning to Track Multiple People in Omnidirectional Video",
booktitle = "Proceedings of the 2005 IEEE International Conference on Robotics and Automation (ICRA-2005)",
month = "April",
year = "2005",
pages = "4150 - 4155"
}