Non rigid Object Tracking Using Modified Mean Shift Method
The traditional Mean Shift algorithm uses a single histogram to tracking moving objects. Because the traditional Mean Shift lacks spatial distribution information, so it is difficult to track non rigid object especially. With a focus on this problem, an improved Mean Shift algorithm based on the shape feature and color of the target is presented. The results show that the algorithm can track the non rigid target in real time, and it has a preferable adaptability and robustness to the irregular motion and deformation of the target.