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Feature point based 3D tracking of multiple fish from multi-view images.

ABSTRACT: A feature point based method is proposed for tracking multiple fish in 3D space. First, a simplified representation of the object is realized through construction of two feature point models based on its appearance characteristics. After feature points are classified into occluded and non-occluded types, matching and association are performed, respectively. Finally, the object's motion trajectory in 3D space is obtained through integrating multi-view tracking results. Experimental results show that the proposed method can simultaneously track 3D motion trajectories for up to 10 fish accurately and robustly.

SUBMITTER: Qian ZM

PROVIDER: S-EPMC5493374 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Feature point based 3D tracking of multiple fish from multi-view images.

Qian Zhi-Ming ZM Chen Yan Qiu YQ

PloS one 20170630 6

A feature point based method is proposed for tracking multiple fish in 3D space. First, a simplified representation of the object is realized through construction of two feature point models based on its appearance characteristics. After feature points are classified into occluded and non-occluded types, matching and association are performed, respectively. Finally, the object's motion trajectory in 3D space is obtained through integrating multi-view tracking results. Experimental results show t ...[more]

PMID: 28665966

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