Citation

Virili V, Garzia F, Cusani R. Int. J. Saf. Secur. Eng. 2013; 3(4): 277-288.

Copyright

(Copyright © 2013, WIT Press)

DOI

10.2495/SAFE-V3-N4-277-288

PMID

unavailable

Abstract

The purpose of the present work is to find out a new methodology to automatically detect abnormal situations in high risk places through a video surveillance system. The idea is to retrieve true and predicted movement of the people in the scene then, through a classifier, to map out different abnormal situations comparing proper vectors. To reach its purpose, the proposed methodology uses a multidisciplinary approach. Keywords

Abnormal activities recognizer, automatic video surveillance, pedestrian tracker

Language: en