/Detector_Tracker

This system is based on a UVAs' Computer Vision recognition competition. The task is to recognize a specific vehicle, on top of that a placard of alphabet T is placed at the altitude of 100 meters. This system was built using the Django framework. It managed to integrate the background subtraction algorithm, the classifier cascade algorithm, the conventional CNN model and tracking algorithm. By complementing their advantages, the system can be implemented in real-time.

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