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Research on Largemouth Bass Target Recognition and Tracking Utilizing the Optical Flow Approach

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DOI: 10.23977/acss.2024.080117 | Downloads: 18 | Views: 400

Author(s)

Chen Murui 1, Zhou Zheng 1, Tang Wenkai 1, Lai Junlin 1

Affiliation(s)

1 College of Marine Engineering, Jiangsu Ocean University, Lianyungang, Jiangsu, China

Corresponding Author

Chen Murui

ABSTRACT

This research focuses on the application of the optical flow method for target identification and tracking of largemouth bass in underwater environments. The optical flow field, representing pixel movement on a two-dimensional plane, is utilized to analyze grayscale variations in image sequences. The study employs the basic variational optical flow model and introduces the Horn-Schunck (HS) algorithm to address challenges such as the aperture problem. Additionally, the paper explores camera selection and calibration, emphasizing the importance of accurate calibration parameters for binocular vision systems. A domestication experiment is designed for California black bass, incorporating sound stimuli and optical flow-based motion tracking. The study concludes with an evaluation of fish domestication effects using motion trajectory and speed analysis.

KEYWORDS

Optical Flow, Largemouth Bass, Target Identification, Motion Tracking, Camera Calibration, Binocular Vision, Domestication Experiment

CITE THIS PAPER

Chen Murui, Zhou Zheng, Tang Wenkai, Lai Junlin, Research on Largemouth Bass Target Recognition and Tracking Utilizing the Optical Flow Approach. Advances in Computer, Signals and Systems (2024) Vol. 8: 142-152. DOI: http://dx.doi.org/10.23977/acss.2024.080117.

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