Paper Title
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.