CAMEO: The Camera Assisted Meeting Event Observer

Paul Rybski, Fernando De la Torre Frade, Raju Patil, Carlos Vallespi-Gonzalez, Manuela Veloso, and Brett Browning
tech. report CMU-RI-TR-04-07, Robotics Institute, Carnegie Mellon University, January, 2004


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Abstract
Static cameras are pervasive in a variety of environments. However it remains a challenging problem to extract and reason about high-level features from real-time and continuous observation of an environment. In this paper, we present CAMEO, the Camera Assisted Meeting Event Observer, which is a physical awareness system designed for use by an agent-based electronic assistant. CAMEO is an inexpensive high-resolution omnidirectional vision system designed to be used in meeting environments. The multiple camera design achieves the desired high image resolution and lower cost that can be achieved when compared to traditional omnicameras that make use of a single camera and mirror solution.

Notes
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

Text Reference
Paul Rybski, Fernando De la Torre Frade, Raju Patil, Carlos Vallespi-Gonzalez, Manuela Veloso, and Brett Browning, "CAMEO: The Camera Assisted Meeting Event Observer," tech. report CMU-RI-TR-04-07, Robotics Institute, Carnegie Mellon University, January, 2004

BibTeX Reference
@techreport{Rybski_2004_4584,
   author = "Paul Rybski and Fernando {De la Torre Frade} and Raju Patil and Carlos Vallespi-Gonzalez and Manuela Veloso and Brett Browning",
   title = "CAMEO: The Camera Assisted Meeting Event Observer",
   booktitle = "",
   institution = "Robotics Institute",
   month = "January",
   year = "2004",
   number= "CMU-RI-TR-04-07",
   address= "Pittsburgh, PA",
}