Integration of region tracking and optical flow for image motion estimation

Robust motion estimation is obtained by integrating optical flow and region tracking methods into a closed-loop architecture. To ensure robust tracking over long intervals in video image sequences, the system has mechanisms to predict and assess tracking performance. Our application is to constrain the estimation of the 3D motion of a camera.

[1]  Ulrich Neumann,et al.  Extendible object-centric tracking for augmented reality , 1998, Proceedings. IEEE 1998 Virtual Reality Annual International Symposium (Cat. No.98CB36180).

[2]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[3]  Gregory D. Hager,et al.  Real-time tracking of image regions with changes in geometry and illumination , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[4]  Ellen C. Hildreth,et al.  Computations Underlying the Measurement of Visual Motion , 1984, Artif. Intell..

[5]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[6]  C Tomasi,et al.  Shape and motion from image streams: a factorization method. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[7]  Steven S. Beauchemin,et al.  The computation of optical flow , 1995, CSUR.

[8]  HANS-HELLMUT NAGEL,et al.  On a Constraint Equation for the Estimation of Displacement Rates in Image Sequences , 1989, IEEE Trans. Pattern Anal. Mach. Intell..