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Visual tracking using Mean Shift is famous and popular. But the traditional Mean Shift tracking algorithm cannot track an object which changes its scale and orientation during the process of tracking. A novel tracking algorithm based on Mean Shift and on-line feature selection is proposed in this paper. Target object is defined in a 4-D state space which can deal with its positon, scale and orientation...
In this paper, we present a new object tracking algorithm based on particle filtering technique and the mean shift algorithm. The particle filtering technique is a powerful technique for tracking objects in image sequences with complex background. It has been proved to be a robust method of tracking in non-linear and non-Gaussian case. But two common problems of the particle filter technique are the...
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