Performance assessment of an insect-inspired target tracking model in background clutter

Zahra Bagheri, Steven D. Wiederman, Benjamin S. Cazzolato, Steven Grainger, David C. O'Carroll

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingResearchpeer-review

3 Citations (SciVal)

Abstract

Biological visual systems provide excellent examples of robust target detection and tracking mechanisms capable of performing in a wide range of environments. Consequently, they have been sources of inspiration for many artificial vision algorithms. However, testing the robustness of target detection and tracking algorithms is a challenging task due to the diversity of environments for applications of these algorithms. Correlation between image quality metrics and model performance is one way to deal with this problem. Previously we developed a target detection model inspired by physiology of insects and implemented it in a closed loop target tracking algorithm. In the current paper we vary the kinetics of a salience-enhancing element of our algorithm and test its effect on the robustness of our model against different natural images to find the relationship between model performance and background clutter.

Original languageEnglish
Title of host publication2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages822-826
ISBN (Electronic)9781479951994
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014 - Singapore, Singapore
Duration: 2014 Dec 102014 Dec 12

Publication series

Name2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014

Conference

Conference2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014
Country/TerritorySingapore
CitySingapore
Period2014/12/102014/12/12

Subject classification (UKÄ)

  • Computer Vision and Robotics (Autonomous Systems)

Keywords

  • biological image processing
  • feature detection
  • image features
  • Target tracking

Fingerprint

Dive into the research topics of 'Performance assessment of an insect-inspired target tracking model in background clutter'. Together they form a unique fingerprint.

Cite this