Body Surface Context: A New Robust Feature for Action Recognition From Depth Videos
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Year
: 2014DOI: 10.1109/TCSVT.2014.2302558
Keyword(s): image motion analysis,image representation,object recognition,video signal processing,3D point cloud,3D real-world coordinate system,BSC,body surface context,depth camera,depth data,depth videos,difference vector,human action dataset,human action recognition,random reference point scheme,skeleton based scheme,spatial temporal scheme,Context,Feature extraction,Joints,Shape,Three-dimensional displays,Vectors,Depth video,Human action recognition,depth video,feature,human
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Body Surface Context: A New Robust Feature for Action Recognition From Depth Videos
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| contributor author | Yan Song | |
| contributor author | Jinhui Tang | |
| contributor author | Fan Liu | |
| contributor author | Shuicheng Yan | |
| date accessioned | 2020-03-12T18:42:43Z | |
| date available | 2020-03-12T18:42:43Z | |
| date issued | 2014 | |
| identifier issn | 1051-8215 | |
| identifier other | 6722961.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/967754?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Body Surface Context: A New Robust Feature for Action Recognition From Depth Videos | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8001769 | |
| subject keywords | image motion analysis | |
| subject keywords | image representation | |
| subject keywords | object recognition | |
| subject keywords | video signal processing | |
| subject keywords | 3D point cloud | |
| subject keywords | 3D real-world coordinate system | |
| subject keywords | BSC | |
| subject keywords | body surface context | |
| subject keywords | depth camera | |
| subject keywords | depth data | |
| subject keywords | depth videos | |
| subject keywords | difference vector | |
| subject keywords | human action dataset | |
| subject keywords | human action recognition | |
| subject keywords | random reference point scheme | |
| subject keywords | skeleton based scheme | |
| subject keywords | spatial temporal scheme | |
| subject keywords | Context | |
| subject keywords | Feature extraction | |
| subject keywords | Joints | |
| subject keywords | Shape | |
| subject keywords | Three-dimensional displays | |
| subject keywords | Vectors | |
| subject keywords | Depth video | |
| subject keywords | Human action recognition | |
| subject keywords | depth video | |
| subject keywords | feature | |
| subject keywords | human | |
| identifier doi | 10.1109/TCSVT.2014.2302558 | |
| journal title | Circuits and Systems for Video Technology, IEEE Transactions on | |
| journal volume | 24 | |
| journal issue | 6 | |
| filesize | 18305705 | |
| citations | 0 |