Abstract
Novel robust statistical methods for detecting irregular camera events in time-multiplexed video streams are presented. Hidden Markov and hidden semi-Markov model based real-time detectors have been developed for video segmentation and anomalous event detection. The performance of the detectors has been demonstrated with real-life outdoor videos recorded by low-quality cameras.
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