Analysis of Time-multiplexed Security Videos

Authors:
Ákos Utasi;László Czuni
Affiliations:
-;-
Venue:
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Year:
2009

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Abstract

In this paper we present robust statistical methods for segmentation and preprocessing of time-multiplexed videos. We will present hidden Markov and hidden semi-Markov model based real-time detectors and their usage for video segmentation and anomalous event detection. We demonstrate the high performance of our detectors with real-life outdoor videos from low-quality cameras.