We have developed a method that can discriminate anomalous image sequences for more efficiently utilizing security videos. To match the wide popularity of security cameras, the me...
We present a novel representation and method for detecting and explaining anomalous activities in a video stream. Drawing from natural language processing, we introduce a represen...
Raffay Hamid, Amos Y. Johnson, Samir Batta, Aaron ...
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
X. Rosalind Wang, Joseph T. Lizier, Oliver Obst, M...
Local image features or interest points provide compact ract representations of patterns in an image. In this paper, we propose to extend the notion of spatial interest points int...
A multi-dimensional linear predictor of 9-1-1 (emergency) call volumes was built and used to automatically detect emergency events. This is illustrated by analyzing the emergency ...
Hector Jasso, Tony Fountain, Chaitan Baru, William...