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Single-camera three-dimensional tracking of natural particulate and zooplankton

Troutman, Valerie A. and Dabiri, John O. (2018) Single-camera three-dimensional tracking of natural particulate and zooplankton. Measurement Science and Technology, 29 (7). Art. No. 075401. ISSN 0957-0233.

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We develop and characterize an image processing algorithm to adapt single-camera defocusing digital particle image velocimetry (DDPIV) for three-dimensional (3D) particle tracking velocimetry (PTV) of natural particulates, such as those present in the ocean. The conventional DDPIV technique is extended to facilitate tracking of non-uniform, non-spherical particles within a volume depth an order of magnitude larger than current single-camera applications (i.e. 10 cm  ×  10 cm  ×  24 cm depth) by a dynamic template matching method. This 2D cross-correlation method does not rely on precise determination of the centroid of the tracked objects. To accommodate the broad range of particle number densities found in natural marine environments, the performance of the measurement technique at higher particle densities has been improved by utilizing the time-history of tracked objects to inform 3D reconstruction. The developed processing algorithms were analyzed using synthetically generated images of flow induced by Hill's spherical vortex, and the capabilities of the measurement technique were demonstrated empirically through volumetric reconstructions of the 3D trajectories of particles and highly non-spherical, 5 mm zooplankton.

Item Type:Article
Related URLs:
URLURL TypeDescription
Troutman, Valerie A.0000-0001-6306-6347
Dabiri, John O.0000-0002-6722-9008
Additional Information:© 2018 IOP Publishing. Received 31 January 2018, revised 4 April 2018. Accepted for publication 30 April 2018. Published 17 May 2018. The diver-operated, multi-modality imaging system project is supported by the National Science Foundation under grant number DBI-1543599. VAT is supported by the Gabilan Stanford Graduate Fellowship and the National Science Foundation Graduate Research Fellowship Program (Grant No. DGE-114747). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
Funding AgencyGrant Number
Stanford UniversityUNSPECIFIED
NSF Graduate Research FellowshipDGE-114747
Subject Keywords:image processing, 3D PTV, DDPIV, natural particulate, zooplankton
Record Number:CaltechAUTHORS:20190422-155745961
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Official Citation:Valerie A Troutman and John O Dabiri 2018 Meas. Sci. Technol. 29 075401
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:94868
Deposited By: George Porter
Deposited On:23 Apr 2019 14:36
Last Modified:23 Apr 2019 14:36

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