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Interactive retrieval for multi-camera surveillance systems featuring spatio-temporal summarization
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International Multimedia Conference archive
Proceeding of the 16th ACM international conference on Multimedia table of contents
Vancouver, British Columbia, Canada
SESSION: Applications track short papers session 1 table of contents
Pages 797-800  
Year of Publication: 2008
ISBN:978-1-60558-303-7
Authors
Toshihiko Yamasaki  The University of Tokyo, Tokyo, Japan
Yoshifumi Nishioka  The University of Tokyo, Tokyo, Japan
Kiyoharu Aizawa  The University of Tokyo, Tokyo, Japan
Sponsors
ACM: Association for Computing Machinery
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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ABSTRACT

An interactive interface is presented for near-synchronized and distributed multi-camera surveillance systems. Human tracking using multiple cameras is conducted employing a particle filter in conjunction with linear least-square trajectory extrapolation and color histogram matching. Spatial and temporal statistical information such as histograms of the number of pedestrians on a timeline-basis, pedestrians' trajectories over a certain period, pedestrian flow, and so forth is efficiently summarized and visualized. In addition, a sketch-based retrieval interface is also developed. As a result, our system facilitates operators to easily extract and access to important scenes from a huge amount of surveillance data. The real-life experiments in the public street demonstrated the validity of our system.


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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Collaborative Colleagues:
Toshihiko Yamasaki: colleagues
Yoshifumi Nishioka: colleagues
Kiyoharu Aizawa: colleagues