People Counting In A Group Using Morphological Operation
Estimating the number of people in a crowded environment is a central task in civilian surveillance. Most
vision-based counting techniques depend on detecting individuals in order to count, an unrealistic proposition in crowded
settings. In a crowd, only parts of people’s bodies appear so the estimation of crowd size is a difficult. The overlap among
crowd members gets worse as crowd density increases. Moreover, there are significant varieties in color and texture of the
crowd, and the backgrounds against which the people lie are unconstrained and complex. In this paper an algorithm for people
counting in a group is presented. Skin colored regions are first detected of the human skin color. These regions are future use in
morphological operations to detect the face structure. A face structure is identified by using region properties.
Keywords- Skin regions, Region Props, Color Space, Preprocessing, Morphological Operation.