Title :
CAMEO: Camera Assisted Meeting Event Observer
Author :
Rybski, Paul E. ; De la Torre, Fernando ; Patil, Raju ; Vallespi, Carlos ; Veloso, Manuela M. ; Browning, Brett
Author_Institution :
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
fDate :
April 26-May 1, 2004
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.
Keywords :
cameras; computer vision; image resolution; image sensors; object detection; agent based electronic assistant; camera assisted meeting event observer; high resolution omnidirectional vision system; image resolution; multiple camera design; omnicameras; physical awareness system; static cameras; Cameras; Computer science; Face; Firewire; Humans; Image resolution; Machine vision; Optical character recognition software; Streaming media; Workstations;
Conference_Titel :
Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8232-3
DOI :
10.1109/ROBOT.2004.1308058