Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10361718 | Pattern Recognition Letters | 2005 | 11 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Zeev Zalevsky, Ehud Rivlin, Michael Rudzsky,