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العنوان
A novel strategy for movable objects Tracking /
المؤلف
El-Sadek, Ramy Kamal El-Hassanin.
هيئة الاعداد
باحث / Ramy Kamal Elhassanin Elsadek
مشرف / Amany Mahmoud Sarhan
مشرف / Ahmed Ibrahim Saleh
باحث / Ramy Kamal Elhassanin Elsadek
الموضوع
Image processing. Computer vision. Object Tracking. Sensors. Perspective Projection. Background Subtraction. Kalman Filter.
تاريخ النشر
2012.
عدد الصفحات
92 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
هندسة النظم والتحكم
تاريخ الإجازة
1/1/2012
مكان الإجازة
جامعة المنصورة - كلية الهندسة - Computer Engineering and System
الفهرس
Only 14 pages are availabe for public view

from 92

from 92

Abstract

Recently, because of its importance in computer vision and surveillance systems, object tracking has progressed rapidly over the last two decades. Researches on such systems still face several theoretical and technical problems that badly impact not only the accuracy of position measurements but also the continuity of tracking.
In this thesis a novel strategy for tracking multiple objects using static cameras is introduced, which can be used to grant a cheap, easy installation, and robust tracking system. The proposed tracking strategy is based on scenes captured by a number of static video cameras. Each camera is attached to a workstation that analyzes its stream. All workstations are connected directly to the tracking server, which harmonizes the system, collects the data, and creates the output spatial-tempo database.
Our contribution comes in two issues. The first is present a new methodology for transforming the image coordinates of an object to its real coordinates. The second is to offer a flexible event-based object tracking strategy. The proposed tracking strategy has been tested over a CAD of soccer game environment. Preliminary experimental results show the robust performance of the proposed tracking strategy.