Hostname: page-component-586b7cd67f-t7fkt Total loading time: 0 Render date: 2024-11-25T22:42:07.400Z Has data issue: false hasContentIssue false
  • English
  • Français

A digital stereo-video camera system for three-dimensional monitoring of free-swimming Pacific bluefin tuna, Thunnus orientalis, cultured in a net cage

Published online by Cambridge University Press:  05 August 2011

Shinsuke Torisawa ,
Minoru Kadota ,
Kazuyoshi Komeyama ,
Katsuya Suzuki  and
Tsutomu Takagi
Shinsuke Torisawa*
Affiliation:
Faculty of Agriculture, Kinki University, 3327-204 Naka-machi, 631-8505 Nara, Japan
Minoru Kadota
Affiliation:
Faculty of Agriculture, Kinki University, 3327-204 Naka-machi, 631-8505 Nara, Japan
Kazuyoshi Komeyama
Affiliation:
Faculty of Fisheries, Kagoshima University, 4-50-20 Shimoarata, 890-0056 Kagoshima, Japan
Katsuya Suzuki
Affiliation:
National Research Institute of Fisheries Engineering, Fisheries Research Agency, 7620-7 Hasaki, 314-0408 Ibaraki, Japan
Tsutomu Takagi
Affiliation:
Faculty of Agriculture, Kinki University, 3327-204 Naka-machi, 631-8505 Nara, Japan
*
a Corresponding author: [email protected]
Get access

Abstract

We used a digital stereo-video camera system for three-dimensional monitoring of cultured Pacific bluefin tuna, Thunnus orientalis, swimming freely in a net cage. We estimated the fork length and length frequency distribution of individual fish using the direct linear transformation (DLT) method. Information obtained from stereo images is useful for managing the growth of tuna during rearing. Our aim was to develop a simple method involving a combination of DLT and commercial image-processing software to enable aquaculturists to obtain three-dimensional measurements of fish. In this study, we used a stereo-video camera system to evaluate the precision and validity of fish size estimates determined from repeated measurements. Of the total assessed individuals swimming within a distance of  <5.5 m from the camera system, estimates for 99% (106/107) were found to be valid, with an error ratio (standard error/mean) of  <5%. Therefore, we believe that our proposed simple method for monitoring free-swimming fish could be very useful for aquaculture management.

Keywords

Three-dimensional monitoringPacific bluefin tunaStereo-cameraAquacultureDirect linear transformation (DLT) method
Type
Note
Information
Aquatic Living Resources , Volume 24 , Issue 2 , April 2011 , pp. 107 - 112
Copyright
© EDP Sciences, IFREMER, IRD 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adbel-Aziz Y.I., Karara H.M., 1971, Direct linear transformation from comparator coordinates into object space in close-range photogrammetry. ASP Symp. Proc. on Close-Range Photogrammetry, American Society of Photogrammetry, Falls Church, pp. 1–18.
Costa, C., Loy, A., Cataudella, S., Davis, D., Scardi, M., 2006, Extracting fish size using dual underwater cameras. Aquac. Eng. 35, 218–227. CrossRefGoogle Scholar
Costa, C., Scardi, M., Vitalini, V., Cataudella, S., 2009, A dual camera system for counting and sizing Northern Bluefin Tuna (Thunnus thynnus Linnaeus, 1758) stock, during transfer to aquaculture cages, with a semi automatic Artificial Neural Network tool. Aquaculture 291, 161–167. CrossRefGoogle Scholar
Hartley R., Zisserman A., 2004, The Direct Linear Transformation (DLT) algorithm, Multiple View Geometry in Computer Vision. 2nd edn., Cambridge University Press, Cambridge, pp. 88–93.
Harvey, E., Fletcher, D., Shortis, M., 2002, Estimation of reef fish length by divers and by stereo-video A first comparison of the accuracy and precision in the field on living fish under operational conditions. Fish. Res. 57, 255–265. CrossRefGoogle Scholar
Harvey, E., Cappo, M., Shortis, M., Robson, S., Buchanan, J., Speare, P., 2003, The accuracy and precision of underwater measurements of length and maximum body depth of southern bluefin tuna (Thunnus maccoyii) with a stereo-video camera system. Fish. Res. 63, 315–326. CrossRefGoogle Scholar
Hsieh, CL., Chang, HY., Chen, FH., Liou, JH., Chang, SK., Lin, TT., 2011, A simple and effective digital imaging approach for tuna fish length measurement compatible with fishing operations. Comput. Electron. Agric. 75, 44–51. CrossRefGoogle Scholar
Ikegami, Y., Sakurai, S., Yabe, K., 1991, Direct Linear Transformation method. J. Sports Sci. 10, 191–195. Google Scholar
Takahashi, H., Matsuda, A., Akamatsu, T., 2006, Evaluation of the Three-Dimensional Measurement Accuracy of FISCHOM Stereo Camera System. Tech. Rep. Nat. Res. Inst. Fish. Eng. 28, 87–93. Google Scholar
Wang, X.F., Tang,, Y., Zhang,, Z.Z., Liu,, H.Y., 2008, Feasibility of using digital photography for environmental monitoring of animals in an artificial reef. Int. Arch. Photogrammetry, Remote Sensing and Spatial Information Sciences 37, 339–342. Google Scholar
Watson, D.L., Harvey, E.S., Anderson, M.J., Kendrick, G.A., 2005, A comparison of temperate reef fish assemblages recorded by three underwater stereo-video techniques. Mar. Biol. 448, 415–425. CrossRefGoogle Scholar
Watson, D.L., Harvey, E.S., Kendrick, G.A., Nardi, K., Anderson, M.J., 2007, Protection from fishing alters the species composition of fish assemblages in a temperate-tropical transition zone. Mar. Biol. 152, 1197–1206. CrossRefGoogle Scholar
Williams, K., Rooper, C.N., Towler, R., 2010, Use of stereo camera systems for ssessment of rockfish abundance in untrawlable areas and for recording pollock behavior during midwater trawls. Fish. Bull. 108, 352–362 Google Scholar