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http://dx.doi.org/10.5370/KIEE.2014.63.6.810

Motion Object Detection Based Hagwon-Bus Boarding Danger Warning System  

Song, Young-Chul (Institute of Mechanical Technology, Kyungpook National University)
Park, Sung-Ryung (Institute of Mechanical Technology, Kyungpook National University)
Yang, Seung-Han (School of Mechanical Engineering, Kyungpook National University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.63, no.6, 2014 , pp. 810-812 More about this Journal
Abstract
In this paper, a hagwon-bus boarding danger warning system based on computer vision is proposed to protect children from an accident causing injuries or death. Three zones are defined and different algorithms are applied to detect moving objects. In zone 1, a block-based entropy value is calculated using the absolute difference image generated by the absolute differential estimation between background image and incoming video frame. In zone 2, an effective and robust motion object tracking algorithm is performed based on the particle filter. Experimental results demonstrate the efficient and effectively of the algorithm for moving object inspection in each zone.
Keywords
Hagwon-bus boarding danger warning system; Block-based entropy; Particle filter;
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