The Robotics Institute

Carnegie Mellon Robotics Institute

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.

Keywords

omnidirectional vision, face recognition, discriminant analysis, adaptive face tracking.

Notes

Sponsor: Camera Assisted Meeting Event Observer (CAMEO) --- CALO

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): People Image Analysis Consortium and MultiRobot Lab

Associated Project(s): Camera Assisted Meeting Event Observer

Number of pages: 32

Text Reference

Fernando De la Torre Frade, Carlos Vallespi-Gonzalez, Paul Rybski, Manuela Veloso, and Takeo 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.",
   booktitle = "",
   institution = "Robotics Institute",
   month = "January",
   year = "2005",
   number= "CMU-RI-TR-05-04",
   address= "Pittsburgh, PA",
}

The Robotics Institute

Menu