Dynamic object tracing method for mobile robot by fusing visual features

Jong Hyeong Kim, Kyung Jae Jang, Jae Won Jang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a novel method of tracing dynamic objects for indoor mobile robot by fusing visual features. The proposed tracking algorithm is a kind of improved CAMSHIFT algorithm combined with SURF, optical flow and ultra-sonic data, to enhance the tracking capability. Since CAMSHIFT algorithm is based HSV color space model, it is weak on strong lighting, abrupt change of light and fast-moving object. Also, CAMSHIFT doesn't consider the object's moving direction and velocity information when it sets the search window for tracking. To set a searching window for tracking, the visual features of SURF, optical flow and ultra-sonic data are used. So, we can analyse the size, moving direction, velocity of the fast-moving objects. Experimental tests prove the improved efficiency performance compared with the conventional CAMSHIFT only.

Original languageEnglish
Title of host publication2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages862-864
Number of pages3
ISBN (Electronic)9784907764579
DOIs
StatePublished - 10 Nov 2017
Event56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 - Kanazawa, Japan
Duration: 19 Sep 201722 Sep 2017

Publication series

Name2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
Volume2017-November

Conference

Conference56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
Country/TerritoryJapan
CityKanazawa
Period19/09/1722/09/17

Keywords

  • CAMSHIFT
  • Object Tracing
  • Optical Flow
  • SURF
  • Ultra-Sonic

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