| 000 | 01684cam a2200337 a 4500 | ||
|---|---|---|---|
| 003 | EG-GiCUC | ||
| 005 | 20250223030311.0 | ||
| 008 | 101025s2010 ua dh f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aPh.D | ||
| 099 | _aCai01.13.08.Ph.D.2010.Ho.P | ||
| 100 | 0 | _aHowida Abdellatif Abdelhalym | |
| 245 | 1 | 0 |
_aParticle fil ters for object tracking : _bEnhanced algorithm and efficient implementations / _cHowida Abdellatif Abdelhalym ; Supervised Serag Eldin Habib , Imbaby Ismail Mahmoud |
| 246 | 1 | 5 |
_aمرشح الجسيمات لتتبع الأهداف المتحركة : _bخوارزمية محسنة وتنفيذات كفوءة |
| 260 |
_aCairo : _bHowida Abdellatif Abdelhalym , _c2010 |
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| 300 |
_a101P. : _bcharts , facsimiles ; _c30cm |
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| 502 | _aThesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication | ||
| 520 | _aAn Excitation Particle Filter ( EPF ) is introduced for object tracking . Multiple likelihood functions : position, gray level intensity and similarity likelihood are proposed . EPF excites the particles if their weights fall below a memorized weight value . Three novel hardwar architectures of the Sample Important Resample Filter are implemented on FPGA | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aObject Tracking | |
| 653 | 4 | _aParticle Filter | |
| 653 | 4 | _aParticle Swarm Optimization | |
| 700 | 0 |
_aImbaby Ismail Mahmoud , _eSupervisor |
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| 700 | 0 |
_aSerag Eldin Habib , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aFatma _eCataloger |
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| 905 |
_aNazla _eRevisor |
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| 942 |
_2ddc _cTH |
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| 999 |
_c31858 _d31858 |
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