Analysis of Time-multiplexed Security Videos

Analysis of Time-multiplexed Security Videos

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 perfor...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Utasi, A., Czuni, L.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Cameras
Detectors
Event detection
Hidden Markov models
Human factors
Image segmentation
Layout
Security
Streaming media
Videos
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/AVSS.2009.73