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» Detecting Unusual Activity in Video
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ICMLA
2010
13 years 6 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
WACV
2007
IEEE
14 years 2 months ago
Building Adaptive Camera Models for Video Surveillance
We address the limited automatic scanning functionality of standard PTZ camera systems. We present an adaptive, scene-specific model using standard PTZ camera hardware. The adapt...
James W. Davis, Alexander M. Morison, David D. Woo...
CVPR
2012
IEEE
11 years 11 months ago
A flow model for joint action recognition and identity maintenance
We propose a framework that performs action recognition and identity maintenance of multiple targets simultaneously. Instead of first establishing tracks using an appearance mode...
Sameh Khamis, Vlad I. Morariu, Larry S. Davis
ICPR
2008
IEEE
14 years 10 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...
ICPR
2008
IEEE
14 years 10 months ago
Detecting global motion patterns in complex videos
Learning dominant motion patterns or activities from a video is an important surveillance problem, especially in crowded environments like markets, subways etc., where tracking of...
Min Hu, Mubarak Shah, Saad Ali