清华大学计算机科学与技术系,北京,100084
纸质出版:2005
移动端阅览
王鹏, 蔡锐, 李彬, 等. 网球视频分析的运动向量场变换算法[J]. 电子学报, 2005,33(5):935-938.
WANG Peng, CAI Rui, LI Bin, et al. Tennis Video Analysis Using Transformed Motion Vector Field[J]. Acta Electronica Sinica, 2005, 33(5): 935-938.
网球比赛中摄像机与球场平面成一倾角
利用运动估计难以获得球员的真实跑动信息
且容易受到大量随机噪声干扰.本文基于针孔摄像机模型
提出一种运动向量场变换算法
提高基于运动向量场特征分析网球视频的性能.该算法利用前景物体掩蔽和全局运动补偿技术
去除随机噪声干扰.实验结果验证了本文算法的有效性和稳定性.
The motion estimated from tennis video is unable to analyze player's true movement due to the diagonally located camera and the high noises.In this paper
a transform algorithm of Motion Vector Field (MVF) is proposed to revise the deformed motion vector based on the pinhole camera model.In this algorithm
the techniques of foreground object mask and global motion compensation are incorporated to reduce noises.Previous methods based on MVF analysis are further utilized to recognize basic actions of either tennis player.And
the experiments on live broadcasted tennis videos show very encouraging results.
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