Leader/Follower Behaviour Using the SIFT Algorithm for Object Recognition

Abstract

This paper presents an application of vision-based object recognition to create a leader/follower behaviour in mobile robots. A system is developed which makes use of the Scale Invariant Feature Transform (SIFT) algorithm to recognize a leader robot or human. The follower robot then uses PID control to track the leader's movements while maintaining a fixed following distance.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2006
Accession Number
ADA599485

Entities

People

  • J. Giesbrecht

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Computer Vision
  • Control Systems
  • Engineering
  • Image Recognition
  • Navigation
  • Navigational Equipment
  • Object Recognition
  • Position Finding
  • Recognition
  • Robotics
  • Robots
  • Security
  • Target Recognition
  • Unmanned Systems
  • Visual Servoing

Fields of Study

  • Computer science
  • Engineering

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control