Detection and following of human legs using the SVDD (Support Vector Data Description) scheme for a mobile robot with a single laser range finder

Yoonkyu Yoo, Woojin Chung

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

The human-following is one of the significant procedure in human-friendly navigation of mobile robots. There are many potential applications of human-following technology. In this paper, we propose detection and tracking approaches for human legs by the use of a single LRF. We extract four simple attributes of human legs. To define the boundary of extracted attributes mathematically, we used a Support Vector Data Description (SVDD) scheme. When the target person moved with the close neighborhood of the other pedestrian, target tracker missed the target person. For this situation, we newly analyze the leg movement. The proposed approaches were successfully verified through various experiments.

Original languageEnglish
Title of host publicationInECCE 2011 - International Conference on Electrical, Control and Computer Engineering
Pages97-102
Number of pages6
DOIs
Publication statusPublished - 2011
Event1st International Conference on Electrical, Control and Computer Engineering 2011, InECCE 2011 - Kuantan, Malaysia
Duration: 2011 Jun 21 → 2011 Jun 22

Publication series

NameInECCE 2011 - International Conference on Electrical, Control and Computer Engineering

Other

Other1st International Conference on Electrical, Control and Computer Engineering 2011, InECCE 2011
CountryMalaysia
CityKuantan
Period11/6/21 → 11/6/22

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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