Detection of motion fields under spatio-temporal non-uniform illumination

In actual scene analysis, the influence of non-ideal conditions such as non-uniform illumination should be taken into account. The conventional methods for the estimation of motion fields are violated in this situation. In this study, two approaches are proposed to extract reliable motion fields under spatio-temporal non-uniform illumination. These are an extended constraint equation with spatio-temporal local optimization and a pixel-based temporal filtering. Experiments have been made to confirm the performance of the proposed methods and to clarify the difference of characteristics between them.

[1]  Tomoyuki Kudou,et al.  Recovering 3D-Shape from Motion Stereo under Non-Uniform Illumination - A Vision System for Mobile Robot Carring an Illumination Source - , 1996, MVA.

[2]  Tomaso A. Poggio,et al.  Motion Field and Optical Flow: Qualitative Properties , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Eric Dubois,et al.  Estimation of 2-D Motion Fields from Image Sequences with Application to Motion-Compensated Processing , 1993 .

[4]  Bernd Jähne,et al.  Digital image processing (3rd ed.): concepts, algorithms, and scientific applications , 1995 .

[5]  野村 厚志.  Determining motion fields under non-uniform illumination , 1994 .

[6]  Stefan Carlsson,et al.  A "theory" of optical flow , 1991, CVGIP Image Underst..

[7]  Etsuro Yokoyama,et al.  Detecting Motion and Diffusion from a Dynamic Image Sequence , 1995 .

[8]  J. Leese,et al.  An Automated Technique for Obtaining Cloud Motion from Geosynchronous Satellite Data Using Cross Correlation , 1971 .

[9]  Ajit Singh,et al.  Optic flow computation : a unified perspective , 1991 .

[10]  Y. J. Tejwani,et al.  Robot vision , 1989, IEEE International Symposium on Circuits and Systems,.

[11]  Bernd Girod,et al.  Motion Analysis and Image Sequence Processing , 1993 .

[12]  Janet Aisbett,et al.  Optical Flow with an Intensity-Weighted Smoothing , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Takeo Kanade,et al.  Adapting optical-flow to measure object motion in reflectance and x-ray image sequences (abstract only) , 1984, COMG.

[14]  Hidetoshi Miike,et al.  Field theory approach for determining optical flow , 1991, Pattern Recognit. Lett..

[15]  Joseph K. Kearney,et al.  Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  Bernd Jähne.  Space and Wave Number Domain , 1993 .

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

[18]  A. Verri,et al.  Differential techniques for optical flow , 1990 .

[19]  F. Glazer,et al.  Scene Matching by Hierarchical Correlation , 1983 .

[20]  Michael J. Black,et al.  The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields , 1996, Comput. Vis. Image Underst..