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http://dx.doi.org/10.5573/ieie.2014.51.2.069

People Counting System by Facial Age Group  

Ko, Ginam (Dept. of Convergence Eng., Hoseo GSV)
Lee, YongSub (Dept. of Convergence Eng., Hoseo GSV)
Moon, Nammee (Dept. of Mobile Software, Hoseo University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.2, 2014 , pp. 69-75 More about this Journal
Abstract
Existing People Counting System using a single overhead mounted camera has limitation in object recognition and counting in various environments. Those limitations are attributable to overlapping, occlusion and external factors, such as over-sized belongings and dramatic light change. Thus, this paper proposes the new concept of People Counting System by Facial Age Group using two depth cameras, at overhead and frontal viewpoints, in order to improve object recognition accuracy and robust people counting to external factors. The proposed system is counting the pedestrians by five process such as overhead image processing, frontal image processing, identical object recognition, facial age group classification and in-coming/out-going counting. The proposed system developed by C++, OpenCV and Kinect SDK, and it target group of 40 people(10 people by each age group) was setup for People Counting and Facial Age Group classification performance evaluation. The experimental results indicated approximately 98% accuracy in People Counting and 74.23% accuracy in the Facial Age Group classification.
Keywords
People Counting; Age Group Classification; Face Recognition; Depth Camera; Facial Age;
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Times Cited By KSCI : 1  (Citation Analysis)
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