Title :
Analysis of Time-multiplexed Security Videos
Author :
Utasi, Ákos ; Czuni, László
Author_Institution :
Comput. & Autom. Res. Inst., Hungarian Acad. of Sci., Budapest, Hungary
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.
Keywords :
hidden Markov models; image segmentation; video surveillance; anomalous event detection; hidden semi-Markov model; time-multiplexed security videos; video preprocessing; video segmentation; Cameras; Detectors; Event detection; Hidden Markov models; Human factors; Image segmentation; Layout; Security; Streaming media; Videos;
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2009. AVSS '09. Sixth IEEE International Conference on
Conference_Location :
Genova
Print_ISBN :
978-1-4244-4755-8
Electronic_ISBN :
978-0-7695-3718-4
DOI :
10.1109/AVSS.2009.73
