We present a data-driven, unsupervised method for unusual
scene detection from static webcams. Such time-lapse
data is usually captured with very low or varying framerate.
This ...
Michael D. Breitenstein, Helmut Grabner, Luc Van G...
This paper presents a novel method for detecting multiple moving targets in real-time from infrared (IR) image sequences collected by an airborne IR camera. This novel method is b...
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...
Abstract— Error control is a major concern in many computer systems, particularly those deployed in critical applications. Experience shows that most malfunctions during system o...
Christopher G. Knight, Adit D. Singh, Victor P. Ne...
—Automated distributed sentry systems need only detect suspicious behavior. Microphones and infrared detectors may suffice, as well as being simpler and cheaper than cameras whil...