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CVPR
1998
IEEE
14 years 9 months ago
Using Adaptive Tracking to Classify and Monitor Activities in a Site
We describe a vision system that monitors activity in a site over extended periods of time. The system uses a distributed set of sensors to cover the site, and an adaptive tracker...
W. Eric L. Grimson, Chris Stauffer, R. Romano, L. ...
CVPR
2009
IEEE
15 years 2 months ago
Anomaly Detection in Extremely Crowded Scenes using Spatio-Temporal Motion Pattern Models
Extremely crowded scenes present unique challenges to video analysis that cannot be addressed with conventional approaches. We present a novel statistical framework for modeling...
Louis Kratz (Drexel University), Ko Nishino (Drexe...
ISCAS
2008
IEEE
197views Hardware» more  ISCAS 2008»
14 years 1 months ago
Human activity recognition for video surveillance
—This paper presents a novel approach for automatic recognition of human activities from video sequences. We first group features with high correlations into Category Feature Vec...
Weiyao Lin, Ming-Ting Sun, Radha Poovendran, Zheng...
NIPS
1997
13 years 8 months ago
Intrusion Detection with Neural Networks
With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is ...
Jake Ryan, Meng-Jang Lin, Risto Miikkulainen
EUROSSC
2007
Springer
14 years 1 months ago
Recognition of User Activity Sequences Using Distributed Event Detection
We describe and evaluate a distributed architecture for the online recognition of user activity sequences. In a lower layer, simple heterogeneous atomic activities were recognised ...
Oliver Amft, Clemens Lombriser, Thomas Stiefmeier,...