Hand gesture detection and tracking methods based on background subtraction

Wei Song, Zixiao Lu, Jinhong Li, Jie Li, Jinqiao Liao, Kyungeun Cho, Kyhyun Um

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

6 Scopus citations

Abstract

This paper combines the background subtraction and frame difference methods to detect a moving-hand area. Currently, hand-gesture recognition contains the following parts: hand area detection, hand tracking, and recognition. In this paper, we describe the moving-hand area detection and tracking parts of our work. First, we constructed a background image model that did not contain a moving hand. Then, using a background updating algorithm to obtain the authentic background image, we obtained the moving-hand area by subtracting the current image frame from the background image frame. We utilized a novel dynamic threshold method to enhance detection. We used the Microsoft Kinect to track the hand region because Kinect can capture information about the human body and the position of various body parts. The experiments demonstrated that our methods can be used to detect a moving region from an original image.

Original languageEnglish
Title of host publicationFuture Information Technology
PublisherSpringer Verlag
Pages485-490
Number of pages6
ISBN (Print)9783642550379
DOIs
StatePublished - 2014
Event9th FTRA InternationalConference on Future Information Technology, FutureTech 2014 - Zhangjiajie, China
Duration: 28 May 201431 May 2014

Publication series

NameLecture Notes in Electrical Engineering
Volume309 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference9th FTRA InternationalConference on Future Information Technology, FutureTech 2014
Country/TerritoryChina
CityZhangjiajie
Period28/05/1431/05/14

Keywords

  • Background subtraction
  • Background updating methods
  • Dynamic threshold
  • Kinect
  • Skeleton information

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