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DOTS: support for effective video surveillance
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International Multimedia Conference archive
Proceedings of the 15th international conference on Multimedia table of contents
Augsburg, Germany
SESSION: Applications 3 - you're being watched table of contents
Pages: 423 - 432  
Year of Publication: 2007
ISBN:978-1-59593-702-5
Authors
Andreas Girgensohn  FX Palo Alto Laboratory, Palo Alto, CA
Don Kimber  FX Palo Alto Laboratory, Palo Alto, CA
Jim Vaughan  FX Palo Alto Laboratory, Palo Alto, CA
Tao Yang  Northwestern Polytechnical University, Xi'an, China
Frank Shipman  Texas A&M University, College Station, TX
Thea Turner  FX Palo Alto Laboratory, Palo Alto, CA
Eleanor Rieffel  FX Palo Alto Laboratory, Palo Alto, CA
Lynn Wilcox  FX Palo Alto Laboratory, Palo Alto, CA
Francine Chen  FX Palo Alto Laboratory, Palo Alto, CA
Tony Dunnigan  FX Palo Alto Laboratory, Palo Alto, CA
Sponsors
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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ABSTRACT

DOTS (Dynamic Object Tracking System) is an indoor, real-time, multi-camera surveillance system, deployed in a real office setting. DOTS combines video analysis and user interface components to enable security personnel to effectively monitor views of interest and to perform tasks such as tracking a person. The video analysis component performs feature-level foreground segmentation with reliable results even under complex conditions. It incorporates an efficient greedy-search approach for tracking multiple people through occlusion and combines results from individual cameras into multi-camera trajectories. The user interface draws the users. attention to important events that are indexed for easy reference at a later time. Different views within the user interface provide spatial information for easier navigation. Our system, with over twenty video cameras installed in hallways and other public spaces in our office building, has been in constant use for almost a year.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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VR Security. http://www.3vr.com/
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S. Khan and M. Shah. Consistent labeling of tracked objects in multiple cameras with overlapping fields of view. Proc. IEEE Trans. on Pattern Analysis and Machine Intelligence, Volume 25, No. 10, pages 1355--1360, October 2003.
 
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D. Kimber, T. Dunnigan, A. Girgensohn, F. Shipman, T. Turner, and T. Yang. Trailblazing: video playback control by direct object manipulation. ICME, 2007.
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T. Yang, F. Chen, D. Kimber, and J. Vaughan. Robust people detection and tracking in a multi-camera indoor visual surveillance system. ICME, 2007.


Collaborative Colleagues:
Andreas Girgensohn: colleagues
Don Kimber: colleagues
Jim Vaughan: colleagues
Tao Yang: colleagues
Frank Shipman: colleagues
Thea Turner: colleagues
Eleanor Rieffel: colleagues
Lynn Wilcox: colleagues
Francine Chen: colleagues
Tony Dunnigan: colleagues