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Intelligent Video Monitoring for Anomalous Event Detection

2011; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-642-19937-0_13

1867-5670

Iván Gómez Conde, David Olivieri Cecchi, Xosé A. Vila, Ángel Orosa Rodríguez,

Video Surveillance and Tracking Methods

Behavior determination and multiple object tracking for video surveillance are two of the most active fields of computer vision. The reason for this activity is largely due to the fact that there are many application areas. This paper describes work in developing software algorithms for the tele-assistance for the elderly, which could be used as early warning monitor for anomalous events.We treat algorithms for both the multiple object tracking problem as well simple behavior detectors based on human body positions. There are several original contributions proposed by this paper. First, a method for comparing foreground - background segmention is proposed. Second a feature vector based tracking algorithm is developed for discriminating multiple objects. Finally, a simple real-time histogram based algorithm is described for discriminating movements and body positions.