TY - JOUR
T1 - Motion characterization from co-occurrence vector descriptor
AU - Zalevsky, Zeev
AU - Rivlin, Ehud
AU - Rudzsky, Michael
PY - 2005/4
Y1 - 2005/4
N2 - 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.
AB - 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.
KW - Co-occurrence matrix
KW - Collision avoidance
KW - Navigation
KW - Time to impact
UR - http://www.scopus.com/inward/record.url?scp=14644422703&partnerID=8YFLogxK
U2 - 10.1016/j.patrec.2004.09.015
DO - 10.1016/j.patrec.2004.09.015
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AN - SCOPUS:14644422703
SN - 0167-8655
VL - 26
SP - 533
EP - 543
JO - Pattern Recognition Letters
JF - Pattern Recognition Letters
IS - 5
ER -