Video Surveillance System
A System for Video Surveillance and Monitoring Robert T. Collins, Alan J. Lipton, Takeo Kanade, Hironobu Fujiyoshi, David Duggins, Yanghai Tsin, David Tolliver, Nobuyoshi Enomoto, Osamu Hasegawa, Peter Burt1 and Lambert Wixson1 CMU-RI-TR-00-12
The Robotics Institute, Carnegie Mellon University, Pittsburgh PA 1 The Sarnoff Corporation, Princeton, NJ
Abstract Under the three-year Video Surveillance and Monitoring (VSAM) project (1997–1999), the Robotics Institute at Carnegie Mellon University (CMU) and the Sarnoff Corporation developed a system for autonomous Video Surveillance and Monitoring. The technical approach uses multiple, cooperative video sensors to provide continuous coverage of people and vehicles in a cluttered environment. This final report presents an overview of the system, and of the technical accomplishments that have been achieved.
c 2000 Carnegie Mellon University
work was funded by the DARPA Image Understanding under contract DAAB07-97-C-J031, and by the Office of Naval Research under grant N00014-99-1-0646.
This
1 Introduction
The thrust of CMU research under the DARPA Video Surveillance and Monitoring (VSAM) project is cooperative multi-sensor surveillance to support battlefield awareness [17]. Under our VSAM Integrated Feasibility Demonstration (IFD) contract, we have developed automated video understanding technology that enables a single human operator to monitor activities over a complex area using a distributed network of active video sensors. The goal is to automatically collect and disseminate real-time information from the battlefield to improve the situational awareness of commanders and staff. Other military and federal law enforcement applications include providing perimeter security for troops, monitoring peace treaties or refugee movements from unmanned air vehicles, providing security for embassies or airports, and staking out suspected drug or terrorist hide-outs by collecting time-stamped pictures of everyone
The Robotics Institute, Carnegie Mellon University, Pittsburgh PA 1 The Sarnoff Corporation, Princeton, NJ
Abstract Under the three-year Video Surveillance and Monitoring (VSAM) project (1997–1999), the Robotics Institute at Carnegie Mellon University (CMU) and the Sarnoff Corporation developed a system for autonomous Video Surveillance and Monitoring. The technical approach uses multiple, cooperative video sensors to provide continuous coverage of people and vehicles in a cluttered environment. This final report presents an overview of the system, and of the technical accomplishments that have been achieved.
c 2000 Carnegie Mellon University
work was funded by the DARPA Image Understanding under contract DAAB07-97-C-J031, and by the Office of Naval Research under grant N00014-99-1-0646.
This
1 Introduction
The thrust of CMU research under the DARPA Video Surveillance and Monitoring (VSAM) project is cooperative multi-sensor surveillance to support battlefield awareness [17]. Under our VSAM Integrated Feasibility Demonstration (IFD) contract, we have developed automated video understanding technology that enables a single human operator to monitor activities over a complex area using a distributed network of active video sensors. The goal is to automatically collect and disseminate real-time information from the battlefield to improve the situational awareness of commanders and staff. Other military and federal law enforcement applications include providing perimeter security for troops, monitoring peace treaties or refugee movements from unmanned air vehicles, providing security for embassies or airports, and staking out suspected drug or terrorist hide-outs by collecting time-stamped pictures of everyone