Title :
Algorithms for cooperative multisensor surveillance
Author :
Collins, Robert T. ; Lipton, Alan J. ; Fujiyoshi, Hironobu ; Kanade, Takeo
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fDate :
10/1/2001 12:00:00 AM
Abstract :
The Video Surveillance and Monitoring (VSAM) team at Carnegie Mellon University (CMU) has developed an end-to-end, multicamera surveillance system that allows a single human operator to monitor activities in a cluttered environment using a distributed network of active video sensors. Video understanding algorithms have been developed to automatically detect people and vehicles, seamlessly track them using a network of cooperating active sensors, determine their three-dimensional locations with respect to a geospatial site model, and present this information to a human operator who controls the system through a graphical user interface. The goal is to automatically collect and disseminate real-time information to improve the situational awareness of security providers and decision makers. The feasibility of real-time video surveillance has been demonstrated within a multicamera testbed system developed on the campus of CMU. This paper presents an overview of the issues and algorithms involved in creating this semiautonomous, multicamera surveillance system
Keywords :
active vision; clutter; distributed tracking; graphical user interfaces; image classification; image motion analysis; intelligent sensors; monitoring; object detection; real-time systems; security; sensor fusion; surveillance; video signal processing; GUI; active video sensors; active vision; cluttered environment; cooperative multisensor surveillance; decision makers; distributed network; geolocation multisensor systems; geospatial site model; graphical user interface; human operator; multicamera surveillance system; people detection; real-time information; real-time video surveillance; security providers; site security monitoring; situational awareness; smart sensors; three-dimensional locations; vehicle detection; video surveillance; video understanding algorithms; Automatic control; Control system synthesis; Graphical user interfaces; Humans; Information security; Monitoring; Real time systems; Sensor systems; Vehicle detection; Video surveillance;
Journal_Title :
Proceedings of the IEEE