Title :
Egocentric Real-time Workspace Monitoring using an RGB-D camera
Author :
Damen, Dima ; Gee, Andrew ; Mayol-Cuevas, Walterio ; Calway, Andrew
Author_Institution :
Dept. of Comput. Sci., Univ. of Bristol, Bristol, UK
Abstract :
We describe an integrated system for personal workspace monitoring based around an RGB-D sensor. The approach is egocentric, facilitating full flexibility, and operates in real-time, providing object detection and recognition, and 3D trajectory estimation whilst the user undertakes tasks in the workspace. A prototype on-body system developed in the context of work-flow analysis for industrial manipulation and assembly tasks is described. The system is evaluated on two tasks with multiple users, and results indicate that the method is effective, giving good accuracy performance.
Keywords :
assembling; image sensors; industrial manipulators; object detection; object recognition; 3D trajectory estimation; RGB-D camera; assembly tasks; egocentric real-time workspace monitoring; industrial manipulation; integrated system; object detection; object recognition; on-body system; personal workspace monitoring; Cameras; Image color analysis; Image segmentation; Monitoring; Real-time systems; Robot sensing systems; Trajectory;
Conference_Titel :
Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on
Conference_Location :
Vilamoura
Print_ISBN :
978-1-4673-1737-5
DOI :
10.1109/IROS.2012.6385829