How person re-identification (RE-ID) works with Computer Vision | Opencv with Python

Tracking people inside shopping centers or airports is a complex operation to carry out. Normally a tracking algorithm is used, and this is often sufficient, but when there are occlusions or small changes in the person's position this may no longer be sufficient.
In these cases it is necessary to implement more sophisticated algorithms, for example, Person Re-Identification with OSNet is useful for this purpose.
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[@RedShipsofSpainAgain]

TIMESTAMPS:
3:35 Person detection
5:25 Person tracking
8:08 Person re-identification
13:04 Hardware considerations
16:00 Key performance indicators

[@keepkalm1955]

Thank you very much. Really grateful for the video, coming at the right time for me

[@NoumanRasheed-du3gv]

Is this the best way possible for Person ReID? What do you think about FairMOT?

[@NoumanRasheed-du3gv]

Is this the best possible way? What do you think about FairMOT?

[@nakulmali1413]

Hi sir thanks for your all videos, but sir i request you please upload one video on question like as detected object is having 500cm distance from ccamera and camera is having 55 degree angel with surface then how to calculate the orignal area of object (object is having irregular shape)

[@rafaeldesantis7580]

I would love to see this Reid in yolov8

[@mateussousa7181]

It would be awesome

[@user-lt9pq1ce5d]

I would that too