Background subtraction framework for mobile 3d sensor data

Seongjo Lee, Seoungjae Cho, Nguyen Trong Hieu, Phuong Chu, Kyungeun Cho

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

Abstract

The latest developments in artificial intelligence and sensors have been stimulating research on intelligent service robots and self-driving car technology. Such service robots and self-driving cars must take actions according to the situation by detecting human beings or dynamic environments. This paper proposes a framework that eliminates the background area to facilitate detection of moving robots or vehicles in a dynamic environment. The approach proposed in this paper can eliminate the background at high speed by analyzing an accumulation of 3D data through parallel processing using the voxel data.

Original languageEnglish
Title of host publicationAdvances in Computer Science and Ubiquitous Computing - CSA-CUTE2016
EditorsVincenzo Loia, James J. Jong Hyuk Park, Gangman Yi, Yi Pan
PublisherSpringer Verlag
Pages1086-1090
Number of pages5
ISBN (Print)9789811030222
DOIs
StatePublished - 2017
Event11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016 - Bangkok, Thailand
Duration: 19 Dec 201621 Dec 2016

Publication series

NameLecture Notes in Electrical Engineering
Volume421
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016
Country/TerritoryThailand
CityBangkok
Period19/12/1621/12/16

Keywords

  • 3D LIDAR
  • Background subtraction
  • Mobile sensor platform

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