Abstract: Automatically performance of video surveillance system is an important research area in the commercial sector. Visual surveillance and monitoring of human activity requires people to be tracked as they move through a scene and tracking a moving object through a captured video. A new method for detecting and tracking moving objects based on wavelet transform and background subtraction algorithm and identifying the moving objects. By using wavelet transform can divide a frame into four different frequency bands without loss of the spatial information. Localization in both frequency and time/spatial domains is the greatest advantage of wavelet transform over Fourier transform based methods. The algorithm uses Background Subtraction. The proposed model has proved to be robust in different types of static background scenes. The Experimental results prove the feasibility of the proposed methods.

Keywords: Wavelet Transform, Background subtraction algorithm, Video surveillance system, Background model.