In order to quickly and accurately obtain the marker points in coronary angiography images in interventional surgery for cardiovascular diseases, this paper proposes a method for tracking the marker points in coronary angiography images. Firstly, it is necessary for the operator to manually mark a small number of vascular center points to find the position of the guide line and the labeled points on the guide wire. So the vascular center line can be obtained by using the vascular center point of artificial labeling with Hessian matrix eigenvector. Then we design a filter to detect the guide wire by combining the characteristics of the guide wire and the center line of the vessel. Finally, the marker point is detected by filtering along the guide wire. In the following images, all the vascular center points in the image are obtained by the automatic vascular centerline acquisition algorithm, and the vascular centerline of the frame is obtained by Iterative Closest Point (ICP) registration of the point set with the adjacent frame centerline. Then the guide wire acquisition method of this frame image is consistent with the above algorithm. Finally, the marker of the frame is obtained by combining the positions of the adjacent frame marker and frame guide wire. The experimental results show that our method can quickly and accurately detect the location of marker points in coronary angiography image sequence with a small amount of manual assistance, and can be applied to the computer-aided diagnosis and treatment of cardiovascular diseases. © 2019, Springer Nature Switzerland AG.