Motion Characterization From Co-occurrence Vector Descriptor
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Motion characterization from co-occurrence vector descriptor.
Pattern Recognition Letters, 26(5):533-543, 2005
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Abstract
A novel operator called the co-occurrence vector to be used for motion characterization is presented. The vector has the advantage of requiring low computation complexity. It allows estimating the relative position, the scale and the rotation of objects in the scene image. This estimation may be useful for obtaining time to impact and relative distance between objects for navigation and collision avoidance. Experiments confirm the value of co-occurrence vector for estimation of motion parameters and as a tool for characterization of scale, rotation and relative shift of objects in the scene.
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Bibtex Entry
@article{ZalevskyRR05a,
title = {Motion characterization from co-occurrence vector descriptor.},
author = {Zeev Zalevsky and Ehud Rivlin and Michael Rudzsky},
year = {2005},
journal = {Pattern Recognition Letters},
volume = {26},
number = {5},
pages = {533-543},
keywords = {Co-occurrence matrix; Time to impact; Navigation; Collision avoidance},
abstract = {A novel operator called the co-occurrence vector to be used for motion characterization is presented. The vector has the advantage of requiring low computation complexity. It allows estimating the relative position, the scale and the rotation of objects in the scene image. This estimation may be useful for obtaining time to impact and relative distance between objects for navigation and collision avoidance. Experiments confirm the value of co-occurrence vector for estimation of motion parameters and as a tool for characterization of scale, rotation and relative shift of objects in the scene.}
}