Essential human body points tracking using Kalman filter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Human body tracking has a wide spectrum of applications. Examples include video surveillance, motion and activity capture for medical analysis, just to name a few. In this paper, a human skeleton model is proposed for human body tracking in video surveillance system. The skeleton model is based on 8 important body points namely; head, neck, shoulder, pelvis, knees and, ankles. Basically two techniques are used to locate these points. The first technique uses gait study to find the knee and ankle points. The self occlusion of human legs itself was overcome using the gait information. The gait information is then used to overcome self-occlusion of human legs. The second technique involves Kalman filter to track the remaining proposed body points.

Original languageEnglish
Title of host publicationLecture Notes in Engineering and Computer Science
PublisherNewswood Limited
Pages503-507
Number of pages5
Volume1
ISBN (Print)9789881925169
Publication statusPublished - 2013
Event2013 World Congress on Engineering and Computer Science, WCECS 2013 - San Francisco, CA
Duration: 23 Oct 201325 Oct 2013

Other

Other2013 World Congress on Engineering and Computer Science, WCECS 2013
CitySan Francisco, CA
Period23/10/1325/10/13

Fingerprint

Kalman filters

Keywords

  • Kalman filter
  • Skeleton model
  • Tracking
  • Video surveillance

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

Kong, W., Hussain, A., & Md Saad, M. H. (2013). Essential human body points tracking using Kalman filter. In Lecture Notes in Engineering and Computer Science (Vol. 1, pp. 503-507). Newswood Limited.

Essential human body points tracking using Kalman filter. / Kong, Win; Hussain, Aini; Md Saad, Mohamad Hanif.

Lecture Notes in Engineering and Computer Science. Vol. 1 Newswood Limited, 2013. p. 503-507.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kong, W, Hussain, A & Md Saad, MH 2013, Essential human body points tracking using Kalman filter. in Lecture Notes in Engineering and Computer Science. vol. 1, Newswood Limited, pp. 503-507, 2013 World Congress on Engineering and Computer Science, WCECS 2013, San Francisco, CA, 23/10/13.
Kong W, Hussain A, Md Saad MH. Essential human body points tracking using Kalman filter. In Lecture Notes in Engineering and Computer Science. Vol. 1. Newswood Limited. 2013. p. 503-507
Kong, Win ; Hussain, Aini ; Md Saad, Mohamad Hanif. / Essential human body points tracking using Kalman filter. Lecture Notes in Engineering and Computer Science. Vol. 1 Newswood Limited, 2013. pp. 503-507
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