Document Details

Document Type : Thesis 
Document Title :
REAL-TIME MOVING TARGETS COUNTING IN SURVEILLANCE SYSTEMS
العد اللحظي للاهداف المتحركة في انظمة المراقبة
 
Subject : Faculty of Engineering 
Document Language : Arabic 
Abstract : An object detection system is being generally used to analyze and describe the moving objects. Moving object detection and video tracking system captures events from the data of the surveillance system. The goal of this thesis is to apply object detection and recognition in real time processing. All video scenes contain identifiable objects using object detection technology. There are various types of sensed objects such as vehicles, people, animals and other moving objects. It is very difficult to detect and count moving objects in any video captured by the surveillance system. Pedestrian tracking used by top-level applications to find the object location and shapes for each frame. To overcome the current challenge of surveillance data, we have worked on the drawbacks of existing technology and made the module to find out relevant data with detailed & accurate information. We have used the method based on artificial intelligence technology based on time-frame and programmed in Matlab for detecting the detailed information regarding the moving objects in the video. Which provides more accurate and relevant information hence, will be handful for the surveillance purpose like to study the case took place in public place, boarder and other sensitive area. 
Supervisor : Dr. Amjad Hajjar 
Thesis Type : Master Thesis 
Publishing Year : 1444 AH
2022 AD 
Added Date : Sunday, February 19, 2023 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
أحمد صقرSacor, Ahmad ResearcherMaster 

Files

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 48982.pdf pdf 

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