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Particle fil ters for object tracking : Enhanced algorithm and efficient implementations / Howida Abdellatif Abdelhalym ; Supervised Serag Eldin Habib , Imbaby Ismail Mahmoud

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Howida Abdellatif Abdelhalym , 2010Description: 101P. : charts , facsimiles ; 30cmOther title:
  • مرشح الجسيمات لتتبع الأهداف المتحركة : خوارزمية محسنة وتنفيذات كفوءة [Added title page title]
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Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication Summary: An 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
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Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.Ph.D.2010.Ho.P (Browse shelf(Opens below)) Not for loan 01010110054115000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.Ph.D.2010.Ho.P (Browse shelf(Opens below)) 54115.CD Not for loan 01020110054115000

Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication

An 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

Issued also as CD

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