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Object Tracking Using DeepSORT and YOLOv5 | Multi Object Tracking

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Object Tracking Using YOLOv5 and Deep Sort Algorithm.
We will perform Object Detection using yolov5 and Object tracking using Deep SORT Algorithm.
Object tracking is the task of taking an initial set of object detections, creating a unique ID for each of the initial detections, and then tracking each of the objects as they move around frames in a video, maintaining the ID assignment.
Furthermore, object tracking allows us to apply a unique ID to each tracked object, making it possible for us to count unique objects in a video.
Whenever there is a moving object in the videos, there are certain cases when the visual appearance of the object is not clear. In all such cases, detection would fail while tracking succeeds as it also has the motion model and history of the object.
We will perform Object Detection using yolov5 and Object tracking using Deep SORT Algorithm.
Object tracking is the task of taking an initial set of object detections, creating a unique ID for each of the initial detections, and then tracking each of the objects as they move around frames in a video, maintaining the ID assignment.
Furthermore, object tracking allows us to apply a unique ID to each tracked object, making it possible for us to count unique objects in a video.
Whenever there is a moving object in the videos, there are certain cases when the visual appearance of the object is not clear. In all such cases, detection would fail while tracking succeeds as it also has the motion model and history of the object.
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