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A vision-based object tracking system for weight sensitive unmanned systems
العناوين الأخرى
نظام تتبع بصري للمنظومات الذكية حساسة الوزن
مقدم أطروحة جامعية
Abu Ghaliyah, Karam Mahmud Hasan
مشرف أطروحة جامعية
أعضاء اللجنة
al-Qarallah, Isam Ata Allah Y.
Rawashidah, Nadhir
al-Haj, Ali
الجامعة
جامعة الأميرة سمية للتكنولوجيا
الكلية
كلية الملك عبدالله الثاني للهندسة
القسم الأكاديمي
قسم الهندسة الكهربائية
دولة الجامعة
الأردن
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2016
الملخص الإنجليزي
Object detection and tracking are significant and complex tasks in the field of computer vision.
This field has many applications like surveillance as in detecting abandoned bags in airports or tracking a suspect, vehicle navigation, and autonomous robot navigation for unmanned vehicles or industrial robots.
Object tracking and detection in surveillance videos for humans, vehicle or any other object is a challenging research topic in computer vision; especially in a dynamic environment and non-static cameras.
Non-static cameras involves more challenges in motion classification.
Those challenges rise due to the virtual moving of the whole scene.
Object tracking and detection are essential technologies to fight against terrorism, crimes and for traffic management.
The ability of detecting and tracking targets could also play a significant role in robots’ navigation systems.
Visual tracking systems may issue the direction and speed of motion to the robot to keep the target in its angle of view either by moving the robot itself or the vision sensors.
In this work, a compact size tracking and guiding system that could be mounted on UAV platforms is presented.
The system combines a motion detection technique that could be used with non-static cameras in addition to color filtering to detect and track objects in the field of UAV view.
This hybrid system provides a more reliable tracking system.
The proposed system implements algorithms from literature in a hybrid approach that utilizes the best of each algorithm and avoids heavy resources usage.
Experimental tests showed the system’s ability to detect and track low detailed targets.
The system also showed flexible optimization for speed, as it is possible to keep tracking target objects even with frame skipping giving real-time processing.
التخصصات الرئيسية
عدد الصفحات
67
قائمة المحتويات
Table of contents.
Abstract.
Abstract in Arabic.
[Chapter One] : Introduction.
[Chapter Two] : Literature review.
[Chapter Three] : Proposed system.
[Chapter Four] : Experimental setup and results.
[Chapter Five] : Conclusion.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Abu Ghaliyah, Karam Mahmud Hasan. (2016). A vision-based object tracking system for weight sensitive unmanned systems. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-693682
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Abu Ghaliyah, Karam Mahmud Hasan. A vision-based object tracking system for weight sensitive unmanned systems. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology. (2016).
https://search.emarefa.net/detail/BIM-693682
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Abu Ghaliyah, Karam Mahmud Hasan. (2016). A vision-based object tracking system for weight sensitive unmanned systems. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-693682
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-693682
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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