Title :
Time-dependent HMMs for visual intrusion detection
Author :
Kettnaker, Vera M.
Author_Institution :
Rensselaer Polytechnic Institute
Abstract :
We propose a new Hidden Markov Model with time-dependent states. Estimation of this model is shown to be as fast and easy as the estimation of regular HMMs. We demonstrate the usefulness and feasibility of such time-dependent HMMs with an application in which illegitimate access to personnel-only rooms in airports etc. can be distinguished from access by legitimate personnel, based on differences in the time of access or differences in the motion trajectories.
Keywords :
Airports; Hidden Markov models; Intrusion detection; Personnel; Probability density function; Security; Signal processing; Stochastic processes; Terrorism; Water resources;
Conference_Titel :
Computer Vision and Pattern Recognition Workshop, 2003. CVPRW '03. Conference on
Conference_Location :
Madison, Wisconsin, USA
Print_ISBN :
0-7695-1900-8
DOI :
10.1109/CVPRW.2003.10035