@article{ref1,
title="Suspicious behavior detection system for an open space parking based on recognition of human elemental actions",
journal="IEEJ transactions on electronics, information and systems",
year="2010",
author="Inomata, Teppei and Kimura, Kouji and Hagiwara, Masafumi",
volume="130",
number="2",
pages="302-309",
abstract="Studies for video surveillance applications for preventing various crimes such as stealing and violence have become a hot topic. This paper proposes a new video surveillance system that can detect suspicious behaviors such as a car break-in and vandalization in an open space parking, and that is based on image processing. The proposed system has the following features: it 1)deals time series data flow, 2)recognizes &quot;human elemental actions&quot; using statistic features, and 3)detects suspicious behavior using Subspace method and AdaBoost. We conducted the experiments to test the performance of the proposed system using open space parking scenes. As a result, we obtained about 10.0% for false positive rate, and about 4.6% for false negative rate.  2010 The Institute of Electrical Engineers of Japan.<p />",
language="",
issn="0385-4221",
doi="10.1541/ieejeiss.130.302",
url="http://dx.doi.org/10.1541/ieejeiss.130.302"
}