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Proceedings Paper

Weighted symbolic analysis of human behavior for event detection
Author(s): A. Rosani; G. Boato; F. G. B. De Natale
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Paper Abstract

Automatic video analysis and understanding has become a high interest research topic, with applications to video browsing, content-based video indexing, and visual surveillance. However, the automation of this process is still a challenging task, due to clutters produced by low-level processing operations. This common problem can be solved by embedding signi cant contextual information into the data, as well as using simple syntactic approaches to perform the matching between actual sequences and models. In this context we propose a novel framework that employs a symbolic representation of complex activities through sequences of atomic actions based on a weighted Context-Free Grammar.

Paper Details

Date Published: 19 March 2013
PDF: 7 pages
Proc. SPIE 8663, Video Surveillance and Transportation Imaging Applications, 866306 (19 March 2013); doi: 10.1117/12.2004228
Show Author Affiliations
A. Rosani, Univ. degli Studi di Trento (Italy)
G. Boato, Univ. degli Studi di Trento (Italy)
F. G. B. De Natale, Univ. degli Studi di Trento (Italy)

Published in SPIE Proceedings Vol. 8663:
Video Surveillance and Transportation Imaging Applications
Robert Paul Loce; Eli Saber, Editor(s)

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