| DOTS: support for effective video surveillance |
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International Multimedia Conference
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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
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Authors
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Andreas Girgensohn
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FX Palo Alto Laboratory, Palo Alto, CA
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Don Kimber
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FX Palo Alto Laboratory, Palo Alto, CA
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Jim Vaughan
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FX Palo Alto Laboratory, Palo Alto, CA
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Tao Yang
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Northwestern Polytechnical University, Xi'an, China
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Frank Shipman
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Texas A&M University, College Station, TX
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Thea Turner
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FX Palo Alto Laboratory, Palo Alto, CA
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Eleanor Rieffel
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FX Palo Alto Laboratory, Palo Alto, CA
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Lynn Wilcox
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FX Palo Alto Laboratory, Palo Alto, CA
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Francine Chen
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FX Palo Alto Laboratory, Palo Alto, CA
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Tony Dunnigan
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FX Palo Alto Laboratory, Palo Alto, CA
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Downloads (6 Weeks): 13, Downloads (12 Months): 138, Citation Count: 1
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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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1
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VR Security. http://www.3vr.com/
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2
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F. Arman , R. Depommier , A. Hsu , M.-Y. Chiu, Content-based browsing of video sequences, Proceedings of the second ACM international conference on Multimedia, p.97-103, October 15-20, 1994, San Francisco, California, United States
[doi> 10.1145/192593.192630]
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3
|
|
 |
4
|
|
| |
5
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Axis Communications. http://www.axis.com/
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6
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|
 |
7
|
|
| |
8
|
|
| |
9
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Energy Control, Inc. http://energyctrl.com/security.htm
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10
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Andreas Girgensohn , Frank Shipman , Thea Turner , Lynn Wilcox, Effects of presenting geographic context on tracking activity between cameras, Proceedings of the SIGCHI conference on Human factors in computing systems, April 28-May 03, 2007, San Jose, California, USA
[doi> 10.1145/1240624.1240801]
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11
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Guardian Solutions. http://www.guardiansolutions.com/
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12
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A. Hampapur, L. M. Brown, J. Connell, M. Lu, H. Merkl, S. Pankanti, A. W. Senior, C.-F. Shu, and Y.-L. Tian. Smart video surveillance: exploring the concept of multiscale spatiotemporal tracking. IEEE Signal Processing Magazine, Vol. 22, No. 2, pp. 38--51, 2005.
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13
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Larry Huston , Rahul Sukthankar , Jason Campbell , Padmanabhan Pillai, Forensic video reconstruction, Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks, October 15-15, 2004, New York, NY, USA
[doi> 10.1145/1026799.1026805]
|
 |
14
|
|
| |
15
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Johnson Controls. http://www.johnsoncontrols.com/security/Default.htm
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16
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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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17
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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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18
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19
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L3 Communications. http://www.l3praetorian.com/
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20
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J. P. Lewis. Fast normalized cross-correlation. In Vision Interface, 1995.
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21
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S. McKenna, S. Jabri, Z. Duric, and H. Wechsler. Tracking Groups of People. Proc. Computer Vision and Image Understanding, 2000.
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22
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MySQL. http://www.mysql.com/
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23
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ObjectVideo. http://www.objectvideo.com/products/
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24
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Panasonic. Security Products. http://www.panasonic.com/business/security/
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25
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|
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26
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27
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H. S. Sawhney , A. Arpa , R. Kumar , S. Samarasekera , M. Aggarwal , S. Hsu , D. Nister , K. Hanna, Video flashlights: real time rendering of multiple videos for immersive model visualization, Proceedings of the 13th Eurographics workshop on Rendering, June 26-28, 2002, Pisa, Italy
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28
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|
| |
29
|
|
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30
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Vidient. http://www.vidient.com/
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31
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VistaScape Security System. http://www.vistascape.com/
|
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32
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|
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33
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34
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Gang Wu , Yi Wu , Long Jiao , Yuan-Fang Wang , Edward Y. Chang, Multi-camera spatio-temporal fusion and biased sequence-data learning for security surveillance, Proceedings of the eleventh ACM international conference on Multimedia, November 02-08, 2003, Berkeley, CA, USA
[doi> 10.1145/957013.957126]
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35
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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.
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