DeepSORT - DEEP LEARNING applied to OBJECT TRACKINGDec 03, 2020
So in this video, Im going to give to you a clear and simple explanation on how Deep SORT works and why its so amazing compared to other models like Tracktor++ TrackRCNN and JDE.
►DeepSORT+ YOLOv4 Course - https://augmentedstartups.info/yolov4...
But to understand how DeepSORT works, we first have to go back, waaay back and understand the fundamentals of object tracking and the key innovations that had to happen along the way, for DeepSORT to emerge.
Now tracking assumes that we have an already detected an object of interest. For detection as you may already know is done with YOLOv4. Once we have detected the object, it is assigned an id and is tracked using Deep SORT. We use an example with Elon Musk and SpaceX
So in this application, we have applied deep sort for tracking of vehicles on a highway for traffic surveillance applications.
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