Robust object tracking algorithm based on sparse eigenbasis
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سال
: 2014شناسه الکترونیک: 10.1049/iet-cvi.2013.0175
کلیدواژه(گان): Bayes methods,Karhunen-Loeve transforms,compressed sensing,eigenvalues and eigenfunctions,image coding,image representation,inference mechanisms,learning (artificial intelligence),object detection,object tracking,state estimation,Bayesian inference,Karhunen-Loeve transform,adaptive object tracker,compressive sensing theory,computation reduction,illumination changes,low-dimensional subspace representation,object appearance variation,object detection algorithm,online learning
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آمار بازدید
Robust object tracking algorithm based on sparse eigenbasis
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| contributor author | Jing Li | |
| contributor author | Junzheng Wang | |
| date accessioned | 2020-03-13T00:30:50Z | |
| date available | 2020-03-13T00:30:50Z | |
| date issued | 2014 | |
| identifier issn | 1751-9632 | |
| identifier other | 6969235.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1149491?locale-attribute=fa | |
| format | general | |
| language | English | |
| publisher | IET | |
| title | Robust object tracking algorithm based on sparse eigenbasis | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8332759 | |
| subject keywords | Bayes methods | |
| subject keywords | Karhunen-Loeve transforms | |
| subject keywords | compressed sensing | |
| subject keywords | eigenvalues and eigenfunctions | |
| subject keywords | image coding | |
| subject keywords | image representation | |
| subject keywords | inference mechanisms | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | object detection | |
| subject keywords | object tracking | |
| subject keywords | state estimation | |
| subject keywords | Bayesian inference | |
| subject keywords | Karhunen-Loeve transform | |
| subject keywords | adaptive object tracker | |
| subject keywords | compressive sensing theory | |
| subject keywords | computation reduction | |
| subject keywords | illumination changes | |
| subject keywords | low-dimensional subspace representation | |
| subject keywords | object appearance variation | |
| subject keywords | object detection algorithm | |
| subject keywords | online learning | |
| identifier doi | 10.1049/iet-cvi.2013.0175 | |
| journal title | Computer Vision, IET | |
| journal volume | 8 | |
| journal issue | 6 | |
| filesize | 1231228 | |
| citations | 0 |