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Proceedings Paper

A focus of attention mechanism for gaze control within a framework for intelligent image analysis tools
Author(s): Ranga P. Rodrigo; Kamal Ranaweera; Jagath K. Samarabandu
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Paper Abstract

Focus of attention is often attributed to biological vision system where the entire field of view is first monitored and then the attention is focused to the object of interest. We propose using a similar approach for object recognition in a color image sequence. The intention is to locate an object based on a prior motive, concentrate on the detected object so that the imaging device can be guided toward it. We use the abilities of the intelligent image analysis framework developed in our laboratory to generate an algorithm dynamically to detect the particular type of object based on the user's object description. The proposed method uses color clustering along with segmentation. The segmented image with labeled regions is used to calculate the shape descriptor parameters. These and the color information are matched with the input description. Gaze is then controlled by issuing camera movement commands as appropriate. We present some preliminary results that demonstrate the success of this approach.

Paper Details

Date Published: 28 May 2004
PDF: 5 pages
Proc. SPIE 5298, Image Processing: Algorithms and Systems III, (28 May 2004); doi: 10.1117/12.527092
Show Author Affiliations
Ranga P. Rodrigo, Univ. of Western Ontario (Canada)
Kamal Ranaweera, Univ. of Western Ontario (Canada)
Jagath K. Samarabandu, Univ. of Western Ontario (Canada)


Published in SPIE Proceedings Vol. 5298:
Image Processing: Algorithms and Systems III
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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