DocumentCode
3058069
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
fYear
2001
fDate
36951
Firstpage
263
Lastpage
267
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;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 2001. Proceedings of the 33rd Southeastern Symposium on
Conference_Location
Athens, OH
Print_ISBN
0-7803-6661-1
Type
conf
DOI
10.1109/SSST.2001.918528
Filename
918528
Link To Document