Title :
GlobeAll: panoramic video for an intelligent room
Author :
Nicolescu, Mircea ; Medioni, Gérard
Author_Institution :
Integrated Media Syst. Centre, Univ. of Southern California, Los Angeles, CA, USA
Abstract :
Choosing the appropriate type of video input is an important issue for any vision-based system and the right decision must take into account the specific requirements of the intended application. In the context of intelligent room systems, we establish several qualitative criteria to evaluate the video input component and we use them to compare three current solutions: mobile pan-tilt-zoom cameras, wide-angle lens cameras and electronic pan-tilt-zoom cameras. We show that electronic pan-tilt-zoom systems best satisfy our criteria. To support this claim, we present GlobeAll, a modular four-component prototype for a vision-based intelligent room: a video input component that uses an electronic pan-tilt-zoom camera array, a background learning and foreground extraction component, a tracking component and an interpretation component
Keywords :
CMOS image sensors; computer vision; image segmentation; user interfaces; GlobeAll; background learning; electronic pan-tilt-zoom cameras; foreground extraction; intelligent room; interpretation component; mobile pan-tilt-zoom cameras; panoramic video; tracking component; video input; vision-based system; wide-angle lens cameras; Computer vision; Context awareness; Intelligent systems; Layout; Lenses; Monitoring; Prototypes; Smart cameras; Target tracking; User interfaces;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.905534