‘Computing metasurfaces’ to perform mathematical operations
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Year
: 2014DOI: 10.1109/IROS.2014.6943136
Keyword(s): image segmentation,image sensors,object tracking,particle filtering (numerical methods),real-time systems,video surveillance,background subtraction,cluttered environment,diffusion distance,foreground objects,geodesic distance map,graph based segmentation,head hemiellipsoid model,human tracking,image stitching,indoor surveillance,multiple top view depth cameras,particle filter,real-time indoor surveillance system,real-time people detection,real-time people tracking,shape feat
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‘Computing metasurfaces’ to perform mathematical operations
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| contributor author | Monticone, F. , Alu, A. , Galdi, V. , Engheta, N. | |
| date accessioned | 2020-03-12T23:40:36Z | |
| date available | 2020-03-12T23:40:36Z | |
| date issued | 2014 | |
| identifier other | 6904345.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1120297 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | ‘Computing metasurfaces’ to perform mathematical operations | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8290501 | |
| subject keywords | image segmentation | |
| subject keywords | image sensors | |
| subject keywords | object tracking | |
| subject keywords | particle filtering (numerical methods) | |
| subject keywords | real-time systems | |
| subject keywords | video surveillance | |
| subject keywords | background subtraction | |
| subject keywords | cluttered environment | |
| subject keywords | diffusion distance | |
| subject keywords | foreground objects | |
| subject keywords | geodesic distance map | |
| subject keywords | graph based segmentation | |
| subject keywords | head hemiellipsoid model | |
| subject keywords | human tracking | |
| subject keywords | image stitching | |
| subject keywords | indoor surveillance | |
| subject keywords | multiple top view depth cameras | |
| subject keywords | particle filter | |
| subject keywords | real-time indoor surveillance system | |
| subject keywords | real-time people detection | |
| subject keywords | real-time people tracking | |
| subject keywords | shape feat | |
| identifier doi | 10.1109/IROS.2014.6943136 | |
| journal title | ntennas and Propagation Society International Symposium (APSURSI), 2014 IEEE | |
| filesize | 528775 | |
| citations | 1 |