Abstract
Automatic person identification has wide applications in various situations. For example, a wanted criminal at an international airport, a lost child in a large park, and an elderly person lost in a metropolitan city are situations in which automatic person identification must be performed in realtime. Parameters normally employedinclude a person’s face, height, stride, and full-body color histogram.In this work, the problem we are solving is how to identifya lost child in a video, given the characteristics of a single still image captured when the child entered the location (park) where it was lost. We built a smart camera system that can automatically identify the lost child using a novel method called Real-time Automatic Person Identification (RAPId) that employs a target object segmentation with overlap method to increase accuracy in identification and reference lines for height estimation.
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Ye, CT. et al. (2013). Smart Video Camera Design – Real-Time Automatic Person Identification. In: Pan, JS., Yang, CN., Lin, CC. (eds) Advances in Intelligent Systems and Applications - Volume 2. Smart Innovation, Systems and Technologies, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35473-1_30
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DOI: https://doi.org/10.1007/978-3-642-35473-1_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35472-4
Online ISBN: 978-3-642-35473-1
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