A Real-time Tracking Algorithm for Human Following Mobile Robot

Tsung Han Tsai, Chia Hsiang Yao

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

3 Scopus citations

Abstract

The ability to detect and track specific people is considered a key prerequisite for serving mobile robots. This paper presents a tracker using a binocular camera capable of tracking a specific human in both indoor and outdoor environments. The proposed tracker detects the target with the combination of human detection, color histogram, and block matching algorithm (BMA). When the color of the object is similar, the position of the object is determined by the predictor of the Kalman filter. Finally, the mobile robot is controlled based on the depth information of the target object. The effectiveness of the system is verified by human experiments in indoor and outdoor environments.

Original languageEnglish
Title of host publicationProceedings - International SoC Design Conference 2018, ISOCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages78-79
Number of pages2
ISBN (Electronic)9781538679609
DOIs
StatePublished - 2 Jul 2018
Event15th International SoC Design Conference, ISOCC 2018 - Daegu, Korea, Republic of
Duration: 12 Nov 201815 Nov 2018

Publication series

NameProceedings - International SoC Design Conference 2018, ISOCC 2018

Conference

Conference15th International SoC Design Conference, ISOCC 2018
Country/TerritoryKorea, Republic of
CityDaegu
Period12/11/1815/11/18

Keywords

  • Binocular camera
  • Component
  • Human-following
  • Mobile robot
  • Visual tracking

Fingerprint

Dive into the research topics of 'A Real-time Tracking Algorithm for Human Following Mobile Robot'. Together they form a unique fingerprint.

Cite this