Learning from Synthetic Data for Crowd Counting in the Wild

Understand

Recently, counting the number of people for crowd scenes is a hot topic because of its widespread applications (e.g.

• video surveillance, public security).
• It is a difficult task in the wild: changeable environment, large-range number of people cause the current methods can not work well.
• In addition, due to the scarce data, many methods suffer from over-fitting to a different extent.