Particle swarm optimization algorithms for object tracking / Ahmed Mohamed Abdeltawab Hamed ; Supervised Serag E. D. Habib , Mohamed Bakr Abdelhalim
Material type: TextLanguage: English Publication details: Cairo : Ahmed Mohamed Abdeltawab Hamed , 2011Description: 141 P. : charts , facsimiles ; 30cmOther title:- تتبع الاهداف باستخدام خوارزميات التحسين بأسراب الجزيئات [Added title page title]
- Issued also as CD
Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
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Thesis | قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.08.M.Sc.2011.Ah.P (Browse shelf(Opens below)) | Not for loan | 01010110056641000 | |||
CD - Rom | مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.08.M.Sc.2011.Ah.P (Browse shelf(Opens below)) | 56641.CD | Not for loan | 01020110056641000 |
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication
In this a novel tracking algorithm based on the PSO particle swarm optimization is proposed . Amulti - feature model is proposed to enhance the tracking accuracy and efficiency . This model combines the effects of different object cases such as zooming scaling rotating etc. into a single cost function . The proposed algorithm is independent of object type and shape and can be used for many object tracking applications
Issued also as CD
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