Perspective object tracking based on image feature extraction

In the course of tracking there are various transformations for the object, including flip, rotation, scaling, shear and so on. In this paper, we describe a new approach that can perform well in coping with object´s perspective transformation. A transformation matrix which is modeled with 9-parameter matrix is employed to represent the deformation of the object. So as to simplify the calculation and increase the speed of the estimation for the perspective model, we choose feature points for calculation. In this paper, a new algorithm is proposed to remove the inaccurate matching points and calculate the final perspective parameters. The result indicates that the method of object tracking has high precision and fast speed.