Online Fish Tracking with Portable Smart Device for Ocean Observatory Network

Abstract

Nowadays, Ocean Observatory Networks, Which Gather and Provide Multidisciplinary, Long-Term, 3d Continuous Marine Observations at Multiple Temporal Spatial Scales, Play a More and More Important Role in Ocean Investigations. in This Paper, We Try to Develop a Portable Smart Device with Online Fish Detection and Tracking Strategies by Arm7 Microprocessor for Ocean Observatory Networks, Combining the Deformable Fish Body Description with Compressive Sensing Together. a Fish Detection System is Introduced to Represent Highly Variable Objects using Mixtures of Multiscale Deformable Fish Body Description Which Include Three Parts:(1) Root Filter, Which Describes the Global Contour Feature of Underwater Fish.(2) Fish Body Part Filter, Which Capture Finer Resolution Features of Underwater Fish. (3) Spatial Model, Which Describes the Relationship between the Fish Body Part Filters and the Root Filter. and Then, We Apply a Simple Yet Effective, Real-Time and Robust of Fast Compressive Tracking Algorithm with an Appearance Model to Focus on the Motion Trajectories of Underwater Fish. It Has Been Shown in the Simulation Experiments that the Developed Scheme of This Paper Achieves Consistent Performance Improvements on Online Fish Tracking for Ocean Observatory Network.

Department(s)

Engineering Management and Systems Engineering

Keywords and Phrases

Deformable fish body description; fish; Network; Observatory; Ocean; tracking

International Standard Book Number (ISBN)

978-069294690-9

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

19 Dec 2017

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