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 objects 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.
Object tracking Levenberg-Marquardt algorithm Feature matching Mapping transformationmatrix Parameter estimation
Dong Xinxin Mao Zheng Sun Legong
College of Electronic and Control Engineering, Beijing University of Technology, Beijing, China
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
1186-1189
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）