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In this paper, a novel Cross-Layered Hidden Markov Model (CLHMM) is proposed for high accuracy and low complexity Surveillance Event Recognition (SER). Unlike existing Layered HMM (LHMM) whose inferences are limited in adjacent layers, cross-layer inferences are designed in CLHMM to strengthen reasoning efficiency and reduce computational complexity. One Common Feature Particle Set (CFPS) is also...
Abnormality Detection (AD), being the core part of intelligent surveillance systems, is calling for growing research interest due to its importance in providing higher efficiency and labor saving. In this paper, we propose a novel Bayesian Network (BN) based AD method for smart surveillance in scenes containing large scale viewpoint changes without model-relearning. In the proposed AD scheme, Reasoning...
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