DocumentCode :
2591010
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
fYear :
2012
fDate :
7-12 Oct. 2012
Firstpage :
1029
Lastpage :
1036
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on
Conference_Location :
Vilamoura
ISSN :
2153-0858
Print_ISBN :
978-1-4673-1737-5
Type :
conf
DOI :
10.1109/IROS.2012.6385829
Filename :
6385829
Link To Document :
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