Model-based human motion capture

I. Kakadiaris, C. Barrón

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations


Human motion analysis is a challenging research area aimed at automating the study of human behavior. An important part of any such system is the component that performs the Human Motion Capture (HMC); in order for human motion to be processed and semantically analyzed, a mathematical representation of the observed motion needs to be extracted. There are two separate aspects to a HMC system; sensing (hardware) and processing (software). The processing itself comprises of an initialization (anthropometry and pose estimation) and a tracking phase. In this chapter, we present methods for three-dimensional model-based human motion capture from uncalibrated passive optical sensors with semi-antomatic initialization and tracking. Such methods allow for non-untrusive capture of natural human behavior from video cameras or from archival recordings. We demonstrate the accuracy, advantages, and limitations of our methods for various classes of data.

Original languageEnglish (US)
Title of host publicationHandbook of Mathematical Models in Computer Vision
PublisherSpringer US
Number of pages16
ISBN (Print)0387263713, 9780387263717
StatePublished - 2006

ASJC Scopus subject areas

  • Computer Science(all)


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