Author:
Naeem Akhter
Affiliation:
Vienna University of Technology, Austria
Keyword(s):
Efficient, Flexible, Robust, Pose tracking, Planar-textured objects.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Human-Computer Interaction
;
Methodologies and Methods
;
Motion and Tracking
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Physiological Computing Systems
;
Robotics
;
Software Engineering
Abstract:
In manufacturing systems transportation of objects can be optimized by throwing and catching them mechanically between work stations. There is a need to track thrown objects using visual sensors. Up to now only ball-shaped objects were tracked under controlled environment, where no orientation had to be considered. This work extends the task of object tracking to cuboid textured objects considering industrial environment. Indeed, tracking objects with respect to the robotics tasks to be achieved in a not too restricted environment remains an open issue. Thus, this work deals with efficient, flexible, and robust estimation of the object’s pose.