篇名 |
Research on Human Skeleton Modeling and Anthropometric Parameters Modeling for Online Examination
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作者 | Lin Zhang、Xiao-Ping Li、Bo Hu、Bin Zhong、Huijie Cui |
英文摘要 | Detection and identification of abnormal behavior is an important technology which can be applied in many cases. In this paper, an improved algorithm of positioning key points is proposed. It models the human skeleton parametrically based on the key points and converts the problem of human behavior trend analysis into the parametrical problem. It reduces the amount of calculation and storage in human behavior analysis greatly. The algorithm can deal with most body postures and the experiment shows that extracting results are more accurate and can be the base data for detection and identification of abnormal behavior for online examination. |
起訖頁 | 015-020 |
關鍵詞 | abnormal behavior detection、anthropometric parameters modeling、human skeleton modeling、abnormal behavior detection、anthropometric parameters modeling、human skeleton modeling |
刊名 | 電腦學刊 |
期數 | 201610 (27:3期) |
DOI |
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