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Video Surveillance and Monitoring (VSAM)
This project is no longer active.

Head: Robert Collins

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Associated center: VASC
Associated labs/groups: People Image Analysis Consortium and Video Surveillance and Monitoring

For more information, see this project's homepage.

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.

Name - Title <Email Address>
• Robert Collins - Adjunct Faculty (Adjunct) <rcollins@andrew.cmu.edu>
• Yongtae Do - Visiting Associate Professor
• David Duggins - Program Manager/ARL CTA Project Manager <duggins@ri.cmu.edu>
• Nobuyoshi Enomoto - Visiting Industrial Scholar
• Hironobu Fujiyoshi - Visiting Research Scientist
• [Home] Takeo Kanade - U.A. and Helen Whitaker University Prof. <tk@cs.cmu.edu>
• John Kozar - Electronics Designer <jkozar@cs.cmu.edu>
• [Home] Alan Lipton - Systems Scientist (Adjunct) <ajl@andrew.cmu.edu>
• Raju Patil - Graduate Student
• David Tolliver - Post Doctoral Fellow, CS <tolliver@cs.cmu.edu>

• A method for monitoring activities of multiple objects by using stochastic model
  N. Enomoto and T. Kanade
  Vol. 84-D, No. 12, December, 2001, pp. 1705 - 1712.
  Download: pdf [998 KB] copyrighted

• Algorithms for cooperative multisensor surveillance
  R. Collins, A. Lipton, H. Fujiyoshi, and T. Kanade
  Proceedings of the IEEE, Vol. 89, No. 10, October, 2001, pp. 1456 - 1477. [Abstract]
  Download: pdf [624 KB] copyrighted

• A Statistical Model for 3D Object Detection Applied to Faces and Cars
  H. Schneiderman and T. Kanade
  IEEE Conference on Computer Vision and Pattern Recognition, IEEE, June, 2000. [Abstract]
  Download: pdf [474 KB], ps.gz [1662 KB] copyrighted

• A System for Video Surveillance and Monitoring
  R. Collins, A. Lipton, T. Kanade, H. Fujiyoshi, D. Duggins, Y. Tsin, D. Tolliver, N. Enomoto, and O. Hasegawa
  tech. report CMU-RI-TR-00-12, Robotics Institute, Carnegie Mellon University, May, 2000. [Abstract]
  Download: pdf [3066 KB], ps.gz [8876 KB] copyrighted

• Virtual Postman - Real-Time Interactive Virtual Video
  A. Lipton
  IASTED CGIM '99, October, 1999. [Abstract]
  Download: pdf [812 KB], ps.gz [1507 KB] copyrighted

• Fast Image-Based Tracking by Selective Pixel Integration
  F. Dellaert and R. Collins
  ICCV 99 Workshop on Frame-Rate Vision, September, 1999. [Abstract]
  Download: pdf [867 KB] copyrighted

• Local Application of Optic Flow to Analyse Rigid versus Non-Rigid Motion
  A. Lipton
  ICCV Workshop on Frame-Rate Vision, September, 1999. [Abstract]
  Download: pdf [402 KB], ps.gz [423 KB] copyrighted

• Application of neural networks for stereo-camera calibration
  Y. Do
  1999 International Joint Conference on Neural Networks (IJCNN '99), July, 1999.
  Download: pdf [114 KB] copyrighted

• Calibration of an Outdoor Active Camera System
  R. Collins and Y. Tsin
  IEEE Computer Vision and Pattern Recognition (CVPR '99), June, 1999, pp. 528 - 534. [Abstract]
  Download: pdf [277 KB], ps.gz [665 KB] copyrighted

• A System for Video Surveillance and Monitoring
  R. Collins, A. Lipton, and T. Kanade
  Proceedings of the American Nuclear Society (ANS) Eighth International Topical Meeting on Robotics and Remote Systems, April, 1999.
  Download: pdf [423 KB], ps.gz [692 KB] copyrighted