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Design patterns for wildlife-related camera trap image analysis.

Saul Greenberg1, Theresa Godin2, Jesse Whittington3

  • 1Department of Computer Science University of Calgary Calgary AB Canada.

Ecology and Evolution
|January 16, 2020
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Summary
This summary is machine-generated.

This study presents software design patterns to help wildlife biologists efficiently analyze camera trap images. These patterns improve data consistency and streamline image inspection and data entry for ecological attributes.

Keywords:
camera trapsdata encoding and acquisitiondesign patternsexperience designhuman–computer interactionimage inspectiontaggingwildlife monitoring

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Area of Science:

  • Ecology
  • Computer Science
  • Software Engineering

Background:

  • Wildlife research relies heavily on analyzing large volumes of camera trap images.
  • Manual image inspection and data entry present significant challenges in terms of time and consistency.
  • Existing software may not adequately address the specific needs of wildlife biologists in image analysis.

Purpose of the Study:

  • To describe and explain design patterns for software used in camera trap image analysis.
  • To provide reusable solutions for common problems faced by wildlife biologists during image inspection and data classification.
  • To inform the design of new camera trap analysis systems and aid in evaluating existing software.

Main Methods:

  • Identification of common problems in camera trap image analysis.
  • Development of general, reusable design patterns to solve these problems.
  • Application and illustration of these patterns using the Timelapse image analysis system.
  • Focus on patterns for data consistency, inspection efficiency, navigation, data entry, and image sorting/filtering.

Main Results:

  • A set of design patterns specifically tailored for wildlife camera trap image analysis.
  • Solutions addressing data consistency, efficient image inspection, and streamlined data entry.
  • Methods for image navigation, handling repetitive data entry, and organizing images into sequences and subsets.
  • Demonstration of how these patterns are implemented in the Timelapse system.

Conclusions:

  • The presented design patterns offer practical solutions for wildlife biologists analyzing camera trap data.
  • These patterns can enhance the efficiency and accuracy of ecological data collection from images.
  • The findings can guide the development of more effective wildlife image analysis software and workflows.