In order to eliminate the measurement error caused by video camera rotation during its moving along the axis,a high precision video camera moving estimation algorithm based on the feature point matching of sequence image frames and the least-square estimatimation is presented.In the algorithm,the strong correlation of sequence image frames is used to analyze the moving parameters of two continuous image frames.Then,the feature points of sequence image frames are detected by Harris operator and matched by template,and the moving parameters of the video camera are obtained with the least-square algorithm.Finally,the obtained moving parameters are used to compensate the video camera rotation precisely.The experimental results show that the rotation angle error of the video camera is less than 5% when the rotation angle of inter-frame is less than 10°,but more than 20% when it is more than 14°.Because the rotation angle of inter-frame is less than 5° in practical application,the algorithm eliminates the influence of video camera rotation on measurement precision,compensates its measurement error,and improves the measurement precision,which meets the requirement of practical application.