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Automated Analysis of Nursery School Observations
Abstract
This chapter introduces an ongoing project with the goal of measuring and analyzing children’s behavior automatically. Some key technologies, including methodologies for acquiring data, tracking a target across different cameras over time, identifying individuals, activity recognition, interaction analysis, and behavior summarization for a target child are presented. Some encouraging results from a real system developed in a nursery school environment are also described. As these technologies enable the content-based retrieval, comparison, and summarization of large-scale observational data, they are applicable to various purposes, such as healthcare, diagnosis, and the assessment of children’s development.
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