Abstract
People counting is an important subject for various applications and analyses. This paper proposes a novel method for counting the number of targets by using the layer scanning of depth information provided by the Kinect® sensor. The steps of this method include constructing a depth image background model, deriving foreground depth map, filtering the noise, classifying the targets, and screening the area of targets with layer scanning to calculate the number of targets by determining the highest position of the respective targets, tracking and analyzing the objects, and counting the number of the objects. Moreover, the dynamic number of targets is calculated using a tracking algorithm. The proposed system is beneficial in automatic, effective, and precise calculation of the number of targets in a specific area. Furthermore, the technique of the present method is not affected by the changes of the ambient light which can effectively reduce the interference of the background.
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Lin, DT., Jhuang, DH. (2013). A Novel Layer-Scanning Method for Improving Real-Time People Counting. In: Stephanidis, C. (eds) HCI International 2013 - Posters’ Extended Abstracts. HCI 2013. Communications in Computer and Information Science, vol 374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39476-8_133
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DOI: https://doi.org/10.1007/978-3-642-39476-8_133
Publisher Name: Springer, Berlin, Heidelberg
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