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Proceedings Paper

Robust real-time visual servo for fish tracking
Author(s): Chi-Cheng Cheng; Chia-Wei Lin
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Paper Abstract

This paper presents a robust real-time visual fish tracking system. The proposed visual servo framework is able to track a deformed target and maintain the target always inside the field of view. For the image processing, an efficient template matching and searching method using the mean-shift theory is developed. The robustness is achieved by appending the ratio histogram, a kernel function, and the template update to the framework when the target is deformed. Experimental results show that the presented scheme works successfully for real-time fish tracking missions. The visual tracking task can also be accomplished even when a similar object crosses over the target.

Paper Details

Date Published: 16 April 2014
PDF: 5 pages
Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 91591M (16 April 2014); doi: 10.1117/12.2064416
Show Author Affiliations
Chi-Cheng Cheng, National Sun Yat-Sen Univ. (Taiwan)
Chia-Wei Lin, National Sun Yat-Sen Univ. (Taiwan)

Published in SPIE Proceedings Vol. 9159:
Sixth International Conference on Digital Image Processing (ICDIP 2014)
Charles M. Falco; Chin-Chen Chang; Xudong Jiang, Editor(s)

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