Abdulrazzaq Alali Jawish Alkherret <br/><br/>
Video - based detection and tracking model for acquiring traffic data /  
 نموذج التعرف و تتبع المركبات فى التصوير بالفيديو لاستخلاص بيانات حركة المرور 
Abdulrazzaq Alali Jawish Alkherret ; Supervised Mohamed Rashad Elmitiny , Ragab Mousa Mohamed , Alsayed Ahmed Alsobky 
 - Cairo :   Abdulrazzaq Alali Jawish Alkherret ,   2015 
 - 268 P. :   facsimiles ;   30cm 
<br/><br/>Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Civil Engineering 
<br/><br/> 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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<br/><br/><label>Subjects--Index Terms: </label>Traffic surveillance Vehicle detection Video image processing