Model-based human body tracking

Yu Huang, Thomas S Huang

Research output: Contribution to journalArticlepeer-review

Abstract

Visual tracking of human body movement is a key technology in a number of areas. In this paper we present a 2-D model-based method of human body tracking from a monocular video sequence. Morris & Rehg putforward a 2-D Scaled Prismatic Model (SPM) for figure registration which has far fewer singularity problems than 3-D models. Here we extend it in a 2-D cardboard human body model with additional one DOF of width change. We set up a mixture motion model for body movements and then solve body motion parameters using EM in a statistical framework, where the model-based kinematic constraints are incorporated in a linear form. Tracking results from real video sequences are encouraging.

Original languageEnglish (US)
Pages (from-to)552-555
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Volume16
Issue number1
StatePublished - 2002

Keywords

  • Cardboard body model
  • Expectation-maximization
  • Human tracking

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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