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Detection and tracking of multiple moving objects with occlusion in smart video surveillance systems

Autonomous video surveillance and monitoring has a rich history. A new method for detecting and tracking multiple moving objects based on discrete wavelet transform and identifying the moving objects by their color and spatial information is proposed in this paper. Since discrete wavelet transform has a nice property that it can divide a frame into four different frequency bands without loss of the spatial information, it is adopted to solve this problem due to the fact that most of the fake motions in the background can be decomposed into the high frequency wavelet sub-band. In tracking multiple moving objects, many applications have problems when objects pass across each other. In this paper, we have developed robust routines for detecting and tracking multiple moving objects with occlusion. The proposed model has proved to be robust in various environments (including indoor and outdoor scenes) and different types of background scenes. The experimental results prove the feasibility of the proposed method. Experiments on real scenes show that the algorithm is effective for object detection and tracking.