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Vehicle Location Detection and Distribution from Camera Images
Stryk, Filip ; Götthans, Jakub (oponent) ; Götthans, Tomáš (vedoucí práce)
This bachelor's thesis deals with vehicle location detection and tracking. Basic principles of deep learning and convolutional networks are presented. Deep learning based object detectors are described with a focus on YOLO and then compared in terms of accuracy and speed. A system for vehicle location detection and tracking using YOLOv4-tiny and SORT is designed, implemented and evaluated.

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