A Mehdi - Electrical Engineering Department, Iran University of Science and Technology, Tehran, Iran
R.R Ggholam-ali - Electrical Engineering Department, Iran University of Science and Technology, Tehran, Iran

This paper estimates and segments the moving objects based on center of mass model to decrease the search window and to provide a new algorithm, which achieves an accurate and rapid tracking. Furthermore, a novel method is proposed to update the template size adaptively by using estimation and segmentation of moving objects. The estimated results of moving target is transformed to wavelet domain and target tracking is performed in that domain. To improve the algorithm center of mass model is performed in wavelet domain. By using kalman predictor and thresholding method, a new approach is presented for object tracking failure and recovery

template matching; wavelet transform; target tracking; center of mass model; kalman predictor