Title :
Robust optical flow estimation using invariant feature
Author :
Zhou, Qiang ; Chelberg, David ; Zeng, Yuj Ing ; Starzyk, Janusz
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA
Abstract :
Traditional methods for computing optical flow are mainly based on image brightness constancy. In the real world the brightness constancy usually does not hold. Here we present the idea of using invariant feature based on the brightness change model to estimate the optical flow. Both the mathematical derivation and the experiments show that the new model is better than brightness based optical flow constraint
Keywords :
image sequences; stability; brightness based optical flow constraint; brightness change model; image brightness constancy; invariant feature; robust optical flow estimation; Brightness; Cameras; Constraint theory; Educational institutions; Image motion analysis; Mathematical model; Optical computing; Optical recording; Optical variables control; Robustness;
Conference_Titel :
System Theory, 2001. Proceedings of the 33rd Southeastern Symposium on
Conference_Location :
Athens, OH
Print_ISBN :
0-7803-6661-1
DOI :
10.1109/SSST.2001.918528
