Novel Mean Shift algorithm for target tracking using WSN
一种WSN下的Mean Shift跟踪算法*

This paper presented a Gaussian mixture model based Mean Shift tracking algorithm so as to effectively track the mobile target using wireless sensor networks. Firstly used Gaussian mixture model to describe the statistical characteristics of the target signals distributed in wireless sensor networks. Then used Mean Shift algorithm to discriminate the target signals from the background noises and estimate the target position. The simulation results show that the target location can be estimated accurately with the algorithm even when lots of outlying sensor readings exist in sensor networks. Compared with other existing algorithms, more robustness can be achieved in the algorithm.