  This paper proposes a method to track human figures in physical spaces and
then utilizes this data to generate several data points such as footfall
distribution, demographic analysis,heat maps as well as gender distribution.
The proposed framework aims to establish this while utilizing minimum
computational resources while remaining real time. It is often useful to have
information such as what kind of people visit a certain place or what hour of
the day experiences maximum activity, Such analysis can be used improve sales,
manage huge number of people as well as predict future behaviour. The proposed
framework is designed in a way such that it can take input streams from IP
cameras and use that to generate relevant data points using open source tools
such as OpenCV and raspberryPi.
