Human action capturing and classification
In this report, a vision-based framework is proposed for learning and inferring occupant activities at different levels. These levels range from short temporal interval movements, to intermediate level events and long temporal term activities. Our research is focused on using a combined tracking-cla...
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| Format: | Thesis |
| Language: | English |
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2008
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| Online Access: | https://hdl.handle.net/10356/13599 |