Object following based on SURF for mobile robots

Po Ting Huang, Chung Ying Li, Chen Chien Hsu, Chin Ming Hong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper presents an object following algorithm based on Speed UP Robust Features (SURF). By using features extracted from video sequences using SURF operator, target object can be tracked from the images. Based on the deviation of the tracked object from the image center and the resizing ratio, suitable control actions can be imposed on the wheel motors to move the robot to closely follow the target object. Experimental results have shown that the proposed object following system can achieve the objective of real-time following of the target object.

Original languageEnglish
Title of host publication1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012
Pages382-386
Number of pages5
DOIs
Publication statusPublished - 2012 Dec 1
Event1st IEEE Global Conference on Consumer Electronics, GCCE 2012 - Tokyo, Japan
Duration: 2012 Oct 22012 Oct 5

Publication series

Name1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012

Other

Other1st IEEE Global Conference on Consumer Electronics, GCCE 2012
CountryJapan
CityTokyo
Period12/10/212/10/5

Keywords

  • SURF
  • image
  • mobile robot
  • object following
  • object tracking

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Huang, P. T., Li, C. Y., Hsu, C. C., & Hong, C. M. (2012). Object following based on SURF for mobile robots. In 1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012 (pp. 382-386). [6379634] (1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012). https://doi.org/10.1109/GCCE.2012.6379634