Abstract
Image velocity (optical flow) fields are computed and interpreted from an image sequence by incorporating knowledge of object kinematics. Linear and nonlinear objective functions are defined by considering the kinematics, and the function parameters are estimated simultaneously with the computation of the velocity field by relaxation. The objective functions provide an interpretation of the dynamic scenes, and at the same time serve as the smoothness constraints. The difficulty of the aperture problem is alleviated by introducing iterative adjustment of measurement directions. The approach lends itself to the analysis of 3-D motion of a solid object, using piecewise objective functions. An example using images of an automobile in motion generated velocity fields that are consistent with visual perception is presented.
| Original language | English |
|---|---|
| Title of host publication | Unknown Host Publication Title |
| Place of Publication | New York, NY, USA |
| Publisher | IEEE |
| Pages | 342-344 |
| Number of pages | 3 |
| ISBN (Print) | 0818607793 |
| State | Published - Dec 1 1987 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
COMPUTATION OF IMAGE VELOCITY FIELD USING LINEAR AND NONLINEAR OBJECTIVE FUNCTIONS. / Young, Tzay Y.; Zhao, Weizhao; Qi, Fei Hu; Ergener, Deniz.
Unknown Host Publication Title. New York, NY, USA : IEEE, 1987. p. 342-344.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - COMPUTATION OF IMAGE VELOCITY FIELD USING LINEAR AND NONLINEAR OBJECTIVE FUNCTIONS.
AU - Young, Tzay Y.
AU - Zhao, Weizhao
AU - Qi, Fei Hu
AU - Ergener, Deniz
PY - 1987/12/1
Y1 - 1987/12/1
N2 - Image velocity (optical flow) fields are computed and interpreted from an image sequence by incorporating knowledge of object kinematics. Linear and nonlinear objective functions are defined by considering the kinematics, and the function parameters are estimated simultaneously with the computation of the velocity field by relaxation. The objective functions provide an interpretation of the dynamic scenes, and at the same time serve as the smoothness constraints. The difficulty of the aperture problem is alleviated by introducing iterative adjustment of measurement directions. The approach lends itself to the analysis of 3-D motion of a solid object, using piecewise objective functions. An example using images of an automobile in motion generated velocity fields that are consistent with visual perception is presented.
AB - Image velocity (optical flow) fields are computed and interpreted from an image sequence by incorporating knowledge of object kinematics. Linear and nonlinear objective functions are defined by considering the kinematics, and the function parameters are estimated simultaneously with the computation of the velocity field by relaxation. The objective functions provide an interpretation of the dynamic scenes, and at the same time serve as the smoothness constraints. The difficulty of the aperture problem is alleviated by introducing iterative adjustment of measurement directions. The approach lends itself to the analysis of 3-D motion of a solid object, using piecewise objective functions. An example using images of an automobile in motion generated velocity fields that are consistent with visual perception is presented.
UR - http://www.scopus.com/inward/record.url?scp=0023564846&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0023564846&partnerID=8YFLogxK
M3 - Conference contribution
SN - 0818607793
SP - 342
EP - 344
BT - Unknown Host Publication Title
PB - IEEE
CY - New York, NY, USA
ER -