Energy Methods for Crowd Surveillance

Surveillance on pedestrians or other moving objects in crowded sites is a crucial and challenging problem for various security tasks. To solve this problem, this paper addresses two energy methods which are based on intensity variation and motion features respectively. With wavelet analysis of the energy curves, the result shows that both methods can be used to deal with crowd modeling and real-time surveillance satisfactorily. A comparison of the two methods is then made in the real environment in a metro surveillance system.