16 April 2014 Robust real-time visual servo for fish tracking
Author Affiliations +
Proceedings Volume 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014); 91591M (2014) https://doi.org/10.1117/12.2064416
Event: Sixth International Conference on Digital Image Processing, 2014, Athens, Greece
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chi-Cheng Cheng, Chi-Cheng Cheng, Chia-Wei Lin, Chia-Wei Lin, "Robust real-time visual servo for fish tracking", Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 91591M (16 April 2014); doi: 10.1117/12.2064416; https://doi.org/10.1117/12.2064416
PROCEEDINGS
5 PAGES


SHARE
RELATED CONTENT

Creation of North East Indian face database for human face...
Proceedings of SPIE (February 18 2013)
General relationship for optimal tracking performance
Proceedings of SPIE (October 28 1996)
Enhanced optical tracking
Proceedings of SPIE (April 14 2008)
Optimal window size for visual tracking
Proceedings of SPIE (November 13 1996)

Back to Top