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Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster (Nephrops norvegicus)

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A model and tracking algorithm for a class of video targets.

R J Schalkoff¹, E S McVey

¹MEMBER, IEEE, Department of Electrical Engineering, School of Engineering and Applied Science, University of Virginia, Charlottesvile, VA 22901; Department of Electrical Engineerin.

IEEE Transactions on Pattern Analysis and Machine Intelligence

|August 27, 2011

Summary

This study introduces algorithms for real-time, automatic two-dimensional (2-D) target tracking in complex scenes. The developed system effectively handles target rotation and dilation using a novel mathematical model and CCD-implementable solution.

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Area of Science:

Computer Vision
Image Processing
Robotics

Background:

Real-time tracking of two-dimensional (2-D) targets in complex environments presents significant challenges.
Existing methods often struggle with target perturbations like rotation and dilation, and effective target/background separation.

Purpose of the Study:

To develop algorithms for a real-time, automatic system for 2-D target tracking.
To create a mathematical model for 2-D image spatial and temporal evolution under target perturbations.
To devise a practical, Charge-Coupled Device (CCD)-implementable solution for enhanced tracking accuracy.

Main Methods:

Development of a mathematical model for 2-D image spatial and temporal evolution.
Approximation of the 2-D tracking problem as a 1-D time-varying parameter estimation problem for small target perturbations.
Design of a CCD-implementable solution addressing target rotation, dilation, and target/background separation.

Main Results:

A novel mathematical model for 2-D target dynamics was established.
The 2-D tracking problem was successfully simplified to a 1-D estimation problem.
A practical CCD-implementable solution demonstrated effectiveness in simulations for complex tracking scenarios.

Conclusions:

The developed algorithms provide a robust framework for real-time, automatic 2-D target tracking.
The mathematical model and CCD-implementable solution offer significant improvements in handling target variations and background clutter.
Future research should explore further refinements and real-world system implementation.