Video Target Tracking of Mean-Shift Algorithm Based on Multi-Feature Fusion
Efficient video target tracking is challenging problem under complex environments.Mean-Shift Algorithm(MSA) based on color distribution is analyzed.A target tracking of MSA combining spatial feature is proposed in this paper,it is an improvement of MSA.The improved algorithm is weighting the spatial estimating location and the result of MSA to obtain the final location of target in this paper.In the experiments,the improved algorithm increased the reliability and robustness of tracking because of integrating the color distribution with spatial feature of target.