DocumentCode
3440972
Title
Very fast visual tracking algorithm using scanlines
Author
Park, S.W. ; Lee, C.S.G.
Author_Institution
Dept. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Volume
3
fYear
1995
fDate
21-27 May 1995
Firstpage
2651
Abstract
Scanlines, which are specifically processed rows or columns of a digital camera image, are used to develop a very fast visual tracking algorithm. The bottleneck of any visual robot tracking system is the large amount of data processed by the vision system in order to determine the pose (position and orientation) of an object moving in space. Scanlines provide a means of using minimal (if not the minimum) amount of information necessary for pose determination; thereby, increasing the sensor response time and the tracking speed. The scanline-based algorithm is developed to track the 6-dimensional pose of regular polygonal objects such as squares, triangles, and circles. Experimental verifications are provided for a single-camera and a dual-camera system
Keywords
feature extraction; motion estimation; object recognition; optical tracking; robot vision; sensor fusion; digital camera image; motion estimation; polygonal object recognition; robot vision; scanlines; sensor fusion; sensor response time; visual tracking algorithm; Cameras; Electronic mail; Information processing; Intelligent sensors; Machine vision; Orbital robotics; Robot sensing systems; Robot vision systems; Sensor systems; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
Conference_Location
Nagoya
ISSN
1050-4729
Print_ISBN
0-7803-1965-6
Type
conf
DOI
10.1109/ROBOT.1995.525657
Filename
525657
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