DocumentCode
716538
Title
Comparison of rigid body motion trajectory descriptors for motion representation and recognition
Author
Vochten, Maxim ; De Laet, Tinne ; De Schutter, Joris
Author_Institution
Dept. of Mech. Eng., KU Leuven, Leuven, Belgium
fYear
2015
fDate
26-30 May 2015
Firstpage
3010
Lastpage
3017
Abstract
This paper presents an overview and comparison of minimal and complete rigid body motion trajectory descriptors, usable in applications like motion recognition and programming by demonstration. Motion trajectory descriptors are able to deal with potentially unwanted variations acting on the motion trajectory such as changes in the execution time, the motion´s starting position, or the viewpoint from which the motion is observed. A suitable rigid body motion trajectory descriptor retains only the trajectory information relevant to the application. This paper compares different trajectory descriptors for rigid body motion and validates their usefulness for dealing with motion variation in a motion recognition experiment. Furthermore, a new type of invariant trajectory descriptor is introduced based on the Frenet-Serret formulas.
Keywords
image motion analysis; image recognition; image representation; robot vision; Frenet-Serret formulas; invariant trajectory descriptor; motion recognition; motion representation; motion starting position; rigid body motion trajectory descriptors; trajectory information; Cameras; Fasteners; Robot kinematics; Shape; Three-dimensional displays; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Conference_Location
Seattle, WA
Type
conf
DOI
10.1109/ICRA.2015.7139612
Filename
7139612
Link To Document