Authors:
Angelo Cenedese
1
;
Ruggero Frezza
1
;
Enrico Campana
2
and
Giambattista Gennari
2
;
2
Affiliations:
1
University of Padova, Italy
;
2
Videotec S.p.a., Italy
Keyword(s):
Event detection, Principal Component Analysis (PCA), Video Analysis.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Pattern Recognition
;
Software Engineering
;
Video Analysis
Abstract:
The detection of events in video streams is a central task in the automatic vision paradigm, and spans heterogeneous fields of application from the surveillance of the environment, to the analysis of scientific data. Actually, although well captured by intuition, the definition itself of event is somewhat hazy and depending on the specific application of interest. In this work, the approach to the problem of event detection is different in nature. Instead of defining the event and searching for it within the data, a normality space of the scene is built from a chosen learning sequence The event detection algorithm works by projecting any newly acquired image onto the normality space so as to calculate a distance from it that represents the innovation of the new frame, and defines the metric for triggering an event alert.