Particle fil ters for object tracking : Enhanced algorithm and efficient implementations /
Howida Abdellatif Abdelhalym
Particle fil ters for object tracking : Enhanced algorithm and efficient implementations / مرشح الجسيمات لتتبع الأهداف المتحركة : خوارزمية محسنة وتنفيذات كفوءة Howida Abdellatif Abdelhalym ; Supervised Serag Eldin Habib , Imbaby Ismail Mahmoud - Cairo : Howida Abdellatif Abdelhalym , 2010 - 101P. : charts , facsimiles ; 30cm
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
Object Tracking Particle Filter Particle Swarm Optimization
Particle fil ters for object tracking : Enhanced algorithm and efficient implementations / مرشح الجسيمات لتتبع الأهداف المتحركة : خوارزمية محسنة وتنفيذات كفوءة Howida Abdellatif Abdelhalym ; Supervised Serag Eldin Habib , Imbaby Ismail Mahmoud - Cairo : Howida Abdellatif Abdelhalym , 2010 - 101P. : charts , facsimiles ; 30cm
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
Object Tracking Particle Filter Particle Swarm Optimization