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Therefore, the key of motion detection in dynamic scenes is to distinguish the background motion from the target motion.
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We first estimate the global background motion from to.
Warping background techniques provide significantly better results (between 10%and40%0% for various datasets) for separating background motion from foreground motion using neighbouring pixel information compared to few classic methods including the non-parametric technique, and the implicit version claims to require less computational overhead [21].
The vestibular system contributes to the visual processes used in locating the fruit and avoiding falling by 1) stabilizing gaze and 2) helping to resolve self-motion from background motion (of the branches).
On the contrary, the second video has a cluttered background motion because the grass and branches present irregular motion.
Thereby, the background motion is assumed to be the dominant motion in the scene.
Without knowledge of the background positions, the background motion cannot be computed, while without knowing the background flow we cannot determine which positions belong to the background region.
Unlike most models that represent the variability of pixel intensity at a particular location in the image, they modelled the underlying warping of pixel locations arising from background motion.
A possible scenario is that extra-retinal signals about pursuit enhance motion signal in the direction of the background motion during pursuit.
Second, a moving object stands out due to the transition that is generated at the motion boundary; a motion boundary appears as the object motion abuts on the background motion.
Before processing the DOCT images, we corrected the images for background motion by using a histogram based algorithm [ 11].
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