Title :
Vision for Robotics: a tool for model-based object tracking
Author :
Vincze, Markus ; Schlemmer, Matthias ; Gemeiner, Peter ; Ayromlou, Minu
Author_Institution :
Autom. & Control Inst., Vienna Univ. of Technol., Austria
Abstract :
Vision for Robotics (V4R) is a software package for tracking rigid objects in unknown surroundings. Its output is the 3-D pose of the target object, which can be further used as an input to control, e.g., the end effector of a robot. The major goals are tracking at camera frame rate and robustness. The latter is achieved by performing cue integration in order to compensate for weaknesses of individual cues. Therefore, features such as lines and ellipses are not only extracted from 2-D images, but the 3-D model and the pose of the object are exploited also.
Keywords :
control engineering computing; end effectors; feature extraction; robot vision; tracking; 2D images; 3D pose; Vision for Robotics; cue integration; end effector; feature extraction; model-based object tracking; rigid object tracking; robot vision; robustness; software package; unknown surroundings; Application software; Cameras; Computer vision; Humans; Robot sensing systems; Robot vision systems; Robotics and automation; Robustness; Software packages; Target tracking;
Journal_Title :
Robotics & Automation Magazine, IEEE
DOI :
10.1109/MRA.2005.1577040