基于时间的hmm视觉入侵检测

2003 Conference on Computer Vision and Pattern Recognition Workshop Pub Date : 2003-06-16 DOI:10.1109/CVPRW.2003.10035

Vera M. Kettnaker

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引用次数: 21

摘要

提出了一种具有时间依赖状态的隐马尔可夫模型。该模型的估计与常规hmm的估计一样快速简便。我们通过一个应用程序证明了这种时间依赖hmm的有效性和可行性，在该应用程序中，根据进入时间的差异或运动轨迹的差异，可以将非法进入机场等人员专用房间与合法人员的进入区分开来。

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Time-dependent HMMs for visual intrusion detection

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.

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2003 Conference on Computer Vision and Pattern Recognition Workshop

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