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ICPR
2008
IEEE
15 years 11 months ago
Real-time abnormal motion detection in surveillance video
Video surveillance systems produce huge amounts of data for storage and display. Long-term human monitoring of the acquired video is impractical and ineffective. Automatic abnorma...
Nahum Kiryati, Shay Rochel, Tammy Riklin-Raviv, Ya...
RTAS
2009
IEEE
15 years 4 months ago
Real-Time Video Surveillance over IEEE 802.11 Mesh Networks
In recent years, there has been an increase in video surveillance systems in public and private environments due to a heightened sense of security. The next generation of surveill...
Arvind Kandhalu, Anthony Rowe, Ragunathan Rajkumar...
ICB
2007
Springer
207views Biometrics» more  ICB 2007»
15 years 1 months ago
Super-Resolved Faces for Improved Face Recognition from Surveillance Video
Characteristics of surveillance video generally include low resolution and poor quality due to environmental, storage and processing limitations. It is extremely difficult for comp...
Frank Lin, Clinton Fookes, Vinod Chandran, Sridha ...
75
Voted
ICPR
2008
IEEE
15 years 11 months ago
An adaptive scene description for activity analysis in surveillance video
This paper presents an adaptive framework for live video analysis. The activities of surveillance subjects are described using a spatio-temporal vocabulary learned from recurrent ...
Brendan Morris, Mohan M. Trivedi
ICPR
2006
IEEE
15 years 11 months ago
Anomaly Detection for Video Surveillance Applications
We investigate the problem of anomaly detection for video surveillance applications. In our approach, we use a compression-based similarity measure to determine similarity between...
Carmen E. Au, James J. Clark, Sandra Skaff