Motion learning using spatio-temporal neural network
Motion trajectory prediction is one of the key areas in behaviour and surveillance studies. Many related successful applications have been reported in the literature. However, most of the studies are based on sigmoidal neural networks in which some dynamic properties of the data are overlooked due...
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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Universiti Utara Malaysia
2020
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| 主題: | |
| オンライン･アクセス: | http://repo.uum.edu.my/27241/1/JICT%2019%20%202%202020%20207%20223.pdf http://repo.uum.edu.my/27241/ http://www.jict.uum.edu.my/index.php/previous-issues/170-journal-of-information-and-communication-technology-jict-vol19no2apr2020#a3 |
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