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Camera motion is well and effectively observed by the optical flow components.
This may result in a possibly flawed detection by the optical flow.
As the search is oriented to finding objects in motion and this information is provided by the optical flow, the focus is on the clusters as they are generated by the optical flow segmentation.
In practice, this region of interest will be delimited as the one which surrounds the moving points detected by the optical flow.
One difficulty of our application relates to the selection of a relatively small number of points detected by the optical flow.
The traced position and extent of a given segment in the next (or previous) frame is obtained by the optical flow of the segment's pixels in the current frame [21].
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Control of the robot is done by transforming the optical flow to ego-motion complex log space.
The 3D stereo reconstruction is enhanced by fusing the optical flow and stereo information using a Kalman filter.
By using the optical flow algorithm on eyes and the head this system is able to compute the driver's state.
Ignakov, et al. [17] extracted the 3D point cloud of any unknown handle by using the optical flow calculated from images taken with a single CCD camera.
This can be expressed by dividing the optical flow constraint equation into regions of intensity interpolation, where warping of the flow to both neighboring frames I(x−u,n−1) and I(x+u,n+1) are equal or not.
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