Video Surveillance and Monitoring - Robotics Institute Carnegie Mellon University
Graphical depiction of the Video Surveillance and Monitoring project
Video Surveillance and Monitoring

The Video Surveillance and Monitoring (VSAM) project is developing automated video understanding technology for use in future urban and battlefield surveillance applications, where human visual monitoring is too costly, too dangerous, or otherwise impractical. Novel image understanding technologies developed under the VSAM project will enable a single human operator to monitor activities over a large, complex area using a distributed network of video sensors. Sample applications include building and parking lot security, monitoring restricted access areas in warehouses and airports, scanning urban battlezones for sniper activity, and performing reconnaissance on the battlefield. The VSAM project is being sponsored by the Defense Advanced Research Projects Agency, Information Systems Office (DARPA ISO), as part of the Image Understanding for Battlefield Awareness effort.

Displaying 17 Publications

2001
Nobuyoshi Enomoto and Takeo Kanade
Journal Article, IEICE Transactions on Information and Systems, Vol. 84, No. 12, pp. 1705 - 1712, December, 2001
Robert Collins, Alan Lipton, Hironobu Fujiyoshi, and Takeo Kanade
Journal Article, Proceedings of the IEEE, Vol. 89, No. 10, pp. 1456 - 1477, October, 2001
2000
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, Vol. 1, pp. 746 - 751, June, 2000
Robert Collins, Alan Lipton, Takeo Kanade, Hironobu Fujiyoshi, David Duggins, Yanghai Tsin, David Tolliver, Nobuyoshi Enomoto, and Osamu Hasegawa
Tech. Report, CMU-RI-TR-00-12, Robotics Institute, Carnegie Mellon University, May, 2000
1999
Alan Lipton
Tech. Report, CMU-RI-TR-99-13, Robotics Institute, Carnegie Mellon University, December, 1999
Alan Lipton
Conference Paper, Proceedings of 2nd Annual IASTED International Conference on Computer Graphics and Imaging (CGIM '99), October, 1999
Frank Dellaert and Robert Collins
Workshop Paper, ICCV '99 Workshop on Frame-Rate Vision, September, 1999
Alan Lipton
Workshop Paper, ICCV '99 Workshop on Frame-Rate Vision, September, 1999
Yongtae Do
Conference Paper, Proceedings of International Joint Conference on Neural Networks (IJCNN '99), Vol. 4, pp. 2719 - 2722, July, 1999
Robert Collins and Yanghai Tsin
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, Vol. 1, pp. 528 - 534, June, 1999

past head

  • Robert Collins

past staff

  • Yongtae Do
  • David Duggins
  • Nobuyoshi Enomoto
  • Hironobu Fujiyoshi
  • Alan Lipton