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http://dx.doi.org/10.9717/kmms.2014.17.1.015

Loitering Detection Solution for CCTV Security System  

Kang, Joohyung (한밭대학교 제어계측공학과)
Kwak, Sooyeong (한밭대학교 전자.제어공학과)
Publication Information
Journal of Korea Multimedia Society / v.17, no.1, 2014 , pp. 15-25 More about this Journal
Abstract
In this paper, we propose a loitering detection using trajectory probability distribution and local direction descriptor for intelligent surveillance system. We use a background modeling method for detecting moving object and extract the motion features from each moving object for making feature vectors. After that, we detect the loitering behavior person using K-Nearest Neighbor classifier. We test the proposed method in real world environment and it can achieve real time and robust detection results.
Keywords
intelligent surveillance system; loitering detection; trajectory analysis;
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Times Cited By KSCI : 3  (Citation Analysis)
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