Object tracking initiates with object detection, assigns a unique set of IDs for each detection, and maintains that ID as the object moves around. In this section, different types of object tracking models are described in detail.
Developing an object tracker model to complement the object detector
Centroid-based tracking
As the name suggests, centroid-based tracking involves tracking the centroid of the image cluster developed using thresholding. At initialization, IDs are assigned to the bounding box centroid. In the next frame, the IDs are assigned by looking at the relative distance between two frames. This method works when objects are far apart but does not work when objects are very close to each other.
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