تطوير وتصميم نظام كشف وملاحقة أجسام متحركة باستخدام نظام بصري

الموضوعات

علوم تطبيقية وتكنولوجية

روابط وملفات

التعريف والنوع

رقم الوثيقة

0a36f06c-50d8-462f-85fe-37d66e08a4dd

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

1967777_1.pdf

بيانات النشر

ترجمة العنوان

Development & Design of Detection and Tracking System for Moving Objects Using an Optical System

ألقاب المؤلفين

[{"name_ar":" صلاح نادر","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":" محمود والي","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"حسان النداف","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

Arabic

المصدر والدورية

اسم المصدر

تطوير وتصميم نظام كشف وملاحقة أجسام متحركة باستخدام نظام بصري

المحتوى والصفحات

عدد الصفحات

193

ترجمة الملخص

In the past decade, the necessity for making systems that have the ability of perception to take right decisions have been highly requested. These demands concentrated in surveillance systems, security systems, and mainly industrial applications. Recent works have seriously tried to make robust vision systems that can understand surrounded environments in order to guide and control autonomous mobile robotics. In this research, we aim to develop and design detection & tracking system controlled by PC that can recognize specific object in defined area and then keep controlling it via digital camera without any sensors assistance. In detection stage, our research succeeded to add new technique to detect objects by forming Histograms based on Surface-Boundary of the object rather than Color-Histograms. By this technique we could improve Probability-Maps which reflect the appearance of objects in the field of vision, and also be able to detect complex-shapes of different objects, and decrease lights effects on detection process. In tracking stage, our work concentrated to improve density distribution of object color which make center/rotation data more accurate in this case. So we succeeded to make zero moment ↕❷❷㐄∑ ∑❸↕→⢀❸↖↑⢀❸consistent by adding three procedures of image processing to achieve our goal. Also, by this improvements our tracking system is able to track objects in different light conditions and keep tracking it even if object returns to vision area after periodically leave. The final stage is vision guidance and controlling system, in this stage we develop new algorithm based on A* to find new shortest paths than ones of traditional A*. We called this algorithm "Omni-Directional Adaptive A*". The new concept of this stage is that we let vision system to collect all data of the area such as obstacles coordinates/object location/object rotation angle, by analyzing map of area and then pass the results to the algorithm. This development of A* has reduced length of motion, reduced time to complete the path and though less consumption of power. So our designed system considered as a "Green System".During this research, each stage was fully tested, results recorded and compared to previous methods. It is approved in this research that our detection & tracking system could be applied to real-life industrial applications and that need little tuning of the results to suit the applications.

إشراف وإعداد

الإشراف

صلاح نادر, حسان النداف

الإعداد

محمود والي

الاقتباسات الببليوغرافية