|
|
|
|
RI | Publications | Omnidirectional Video Capturing, Multiple
People Tracking and Identification for Meeting Monitoring.
|
|
Text only version of this site
Omnidirectional Video Capturing, Multiple
People Tracking and Identification for Meeting Monitoring.
F. De la Torre Frade, C. Vallespi-Gonzalez, P. Rybski, M. Veloso, and T. Kanade
tech. report CMU-RI-TR-05-04, Robotics Institute, Carnegie Mellon University, January, 2005.
Jump to: Download | Abstract | Notes | Text Reference | BibTeX Reference
| Download [Help] |
Adobe portable document format (pdf) [1479 KB]
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.
| Abstract |
Meetings are a very important part of every day?s life for professionals working in universities, companies or governmental institutions. In fact, it is estimated that a mid-level manager or professional spends around 35% of his/her time in meetings. We have designed a physical awareness system called CAMEO (Camera Assisted Meeting Event Observer), a hardware/software component to record and monitor people's activities in meetings.
CAMEO captures the audio and a high resolution omnidirectional view of the meeting by stitching images coming from almost concentric cameras. Besides recording capabilities, CAMEO automatically detects people and automatically learns a person-specific facial appearance model (PSFAM) for each of the participants. The PSFAMs allow more robust, reliable and faster tracking and identification. Several novelties in the video capturing device, multiple person identification and tracking are proposed. The effectiveness and robustness of the proposed system is demonstrated over several real time experiments and a large data set of videos.
| Notes |
Sponsor: Camera Assisted Meeting Event Observer (CAMEO) --- CALO
Associated center: VASC
Associated labs/groups: MultiRobot Lab and People Image Analysis Consortium
Associated project: Camera Assisted Meeting Event Observer
Number of pages: 32
| Text Reference |
F. De la Torre Frade, C. Vallespi-Gonzalez, P. Rybski, M. Veloso, and T. Kanade, Omnidirectional Video Capturing, Multiple People Tracking and Identification for Meeting Monitoring., tech. report CMU-RI-TR-05-04, Robotics Institute, Carnegie Mellon University, January, 2005.
| BibTeX Reference |
@techreport{De la Torre Frade_2005_4930,
author = "Fernando De la Torre Frade and Carlos Vallespi-Gonzalez and Paul Rybski and Manuela Veloso and Takeo Kanade",
title = "Omnidirectional Video Capturing, Multiple
People Tracking and Identification for Meeting Monitoring.",
institution = "Robotics Institute, Carnegie Mellon University",
month = "January",
year = "2005",
number = "CMU-RI-TR-05-04",
address = "Pittsburgh, PA"
}