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Video - based detection and tracking model for acquiring traffic data / Abdulrazzaq Alali Jawish Alkherret ; Supervised Mohamed Rashad Elmitiny , Ragab Mousa Mohamed , Alsayed Ahmed Alsobky

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Abdulrazzaq Alali Jawish Alkherret , 2015Description: 268 P. : facsimiles ; 30cmOther title:
  • نموذج التعرف و تتبع المركبات فى التصوير بالفيديو لاستخلاص بيانات حركة المرور [Added title page title]
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Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Civil Engineering Summary: Vehicle detection and tracking play an important role in traffic management and control. Among available techniques, video image processing (VIP) system is considered superior due to ease in installation, maintenance, upgrade, and visualizing results while processing recorded videos. In this research, a video - based detection and tracking model called "VBDATM" was developed using features of matlab programming language. The developed model consists of three sequential modules. In "Detection" module, the moving vehicles are detected as it enter a section of the road with known length, called region of interest (ROI), and exact time and location are registered while vehicles are traveling in the ROI. In "Tracking" module, data of detected vehicles recorded in frames are checked to segregate all frames belonging to each vehicle. Finally, with the availability of spatial and temporal data of each vehicle, traffic data were computed in traffic data collection module
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.05.Ph.D.2015.Ab.V (Browse shelf(Opens below)) Not for loan 01010110066144000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.05.Ph.D.2015.Ab.V (Browse shelf(Opens below)) 66144.CD Not for loan 01020110066144000

Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Civil Engineering

Vehicle detection and tracking play an important role in traffic management and control. Among available techniques, video image processing (VIP) system is considered superior due to ease in installation, maintenance, upgrade, and visualizing results while processing recorded videos. In this research, a video - based detection and tracking model called "VBDATM" was developed using features of matlab programming language. The developed model consists of three sequential modules. In "Detection" module, the moving vehicles are detected as it enter a section of the road with known length, called region of interest (ROI), and exact time and location are registered while vehicles are traveling in the ROI. In "Tracking" module, data of detected vehicles recorded in frames are checked to segregate all frames belonging to each vehicle. Finally, with the availability of spatial and temporal data of each vehicle, traffic data were computed in traffic data collection module

Issued also as CD

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