@article{ref1,
title="Abnormal pedestrians activities recognizer and tracker",
journal="International journal of safety and security engineering",
year="2013",
author="Virili, V. and Garzia, F. and Cusani, R.",
volume="3",
number="4",
pages="277-288",
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. KeywordsAbnormal activities recognizer, automatic video surveillance, pedestrian tracker<p /><p>Language: en</p>",
language="en",
issn="2041-9031",
doi="10.2495/SAFE-V3-N4-277-288",
url="http://dx.doi.org/10.2495/SAFE-V3-N4-277-288"
}