9 search results - page 1 / 2 » Semi-Supervised Adapted HMMs for Unusual Event Detection |
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the applica...
ICMLA
2010
13 years 5 months ago
2010
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...
ACCV
2010
Springer
13 years 3 months ago
2010
Springer
We present a new active learning approach to incorporate
human feedback for on-line unusual event detection. In contrast to most
existing unsupervised methods that perform passiv...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, a motion-based approach for detecting high-level semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be dire...