People Tracking starts with identifying people in frames using AI trained in publicly available datasets for humans.
Once identified, the particular area of interest is passed on to a deeper level module AI engine that is bifurcate an individual’s traits (e.g. face, gender, hair length, shirt / pant color and type, shoes, specs, etc.) and will fine tune it’s detection architecture’s final layer with this data.
This knowledge will be later used to track individuals having very similar traits and index them using internal confidence mechanism to rule out the false positives
