P2-7-6 
REFERENCES 
[Barron, Fleet and Beauchemin, 1994] Barron, J.L., Fleet, 
D.J. and Beauchemin, S.S., 1994. Performance of Optical 
Flow Techniques. International Journal of Computer Vision, 
12(1), pp.43-77. 
[Beauchemin and Barron, 1997] Beauchemin, S.S. and 
Barron, J.L., 1997. The Computation of Optical Flow. 
ACM Computing Surveys, 27(3), pp.433-467. 
[Davis, Wu and Sun, 1983] Davis, L.S., Wu, Z. and Sun, 
H., 1983. Contour-Based Motion Estimation. Computer 
Vision, Graphics and Image Processing, 23, pp.313-326. 
[Horn and Schunck 1981] Horn, B.K.P. and Schunck, B.G., 
1981. Determining Optical flow. Artificial Intelligence, 17, 
pp.185-203. 
[Kearney, Tompson and Boley, 1987] Kearney, J.K., 
Tompson, W.B. and Boley, D.L., 1987. Optical Flow 
Estimation: An Error Analysis of Gradient-Based Methods 
with Local Optimization. IEEE Transactions on Pattern 
Analysis and Machine Intelligence, PAMI-9(2), pp.229- 
244. 
[Lucas and Kanade, 1981] Lucas, B.D. and Kanade, T., 
1981. An Iterative Image Registration Technique with an 
Application to Stereo Vision. Proceedings of the Seventh 
International Joint Conference on Artificial Intelligence, 
pp.674-679. 
[ Markandey and Flinchbaugh, 1990] Markandey, V. and 
Flinchbaugh, B.E., 1990. Multispectral Constraints for 
Optical Flow Computation. Proceedings of Third 
International Conference on Computer Vision, pp.38-41. 
[Mitiche, Wang and Aggarwal, 1987] Mitiche, A., Wang, 
Y.F. and Aggarwal, J.K., 1987. Experiments in Computing 
Optical Flow with Gradient-Based, Multiconstraint Method. 
Pattern Recognition, 20, pp. 173-179. 
[Nomura, Miike and Koga, 1991] Nomura, A., Miike, H. 
and Koga, K., 1991. Field Theory Approach for 
Determining Optical Flow. Pattern Recognition Letters, 12, 
pp.183-190. 
[Schunck, 1984] Schunck, B.G., 1984. The Motion 
Constraints . Equation for Optical Flow. Proceedings 
Seventh International Conference on Pattern Recognition, 
pp.20-22. 
[Woodham, 1990] Woodham, R.J., 1990. Multiple Light 
Sourse Optical Flow. Proceedings of Third International 
Conference on Computer Vision, pp.42-46.