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 :
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