Abnormality Detection in Crowd

Fast increase in population of cities, cause people getting panic because of terrorist movement. Now it has become more dangerous and serious intimidation. Therefore, the crowd analysis in surveillance videos is a new research area, however, public area is having large number of crowded scenes and it contains moving crowd and also involves object movement. The object size is very small because of that the objects appear entirely smaller and in crowd people walk randomly and close up one another. All the factors make the survey difficult. A feature is used to analyze movement of the people. These properties use of space and terrestrial movement information of points of interest. Then a method used group the feature points primarily and then collectiveness is calculated. Collectiveness makes group computation more efficient effectual. People status is obtained by crowd descriptors.