Activity Recognition in First-Person Camera View Based onTemporal Pyramid
碩士 === 國立臺灣大學 === 資訊網路與多媒體研究所 === 101 === We present a simple but effective online recognition system for detecting interleaved activities of daily life (ADLs) in first-person-view videos. The two major difficulties in detecting ADLs are interleaving and variability in duration. We use temporal pyra...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/92962830683022916719 |