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Detection, Recognition and Tracking Cars from UAV Based implementation of MobileNet- Single Shot Detection deep neural network on the embedded system By Using Remote Sensing Techniques

عنوان مقاله: Detection, Recognition and Tracking Cars from UAV Based implementation of MobileNet- Single Shot Detection deep neural network on the embedded system By Using Remote Sensing Techniques
شناسه ملی مقاله: JR_JRORS-3-3_004
منتشر شده در در سال 1399
مشخصات نویسندگان مقاله:

Mohammadjavad Nateghi - MEng of Electronic, Imam Hossein Comprehensive University, Tehran, Iran Kpnateghi.ihu.ac.ir

خلاصه مقاله:
Tracking targets from the ground is difficult due to natural and artificial barriers, and in some cases, such as car detection, is dangerous, therefore, identifying targets using remote sensing is obvious. To achieve the purpose, the desired camera is installed on the unmanned aerial vehicle (UAV). with images processing on captured images from the camera, the system has used can identify the vehicle using aerial images and follow it if it is necessary. An important issue to this matt

کلمات کلیدی:
tracking targets,car detection,UAV,deep neural network,remote sensing

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1195124/