View in EDS PDF Full Text

A recognition-based motion capture baseline on the HumanEva II test data.

Saved in:
Bibliographic Details
Title: A recognition-based motion capture baseline on the HumanEva II test data.
Authors: Howe, Nicholas1, nhowe@cs.smith.edu
Source: Machine Vision & Applications; Nov2011, Vol. 22 Issue 6, p995-1008, 14p, 2 Color Photographs, 3 Diagrams, 2 Charts, 2 Graphs
Database: Applied Science & Technology Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 66548932
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A recognition-based motion capture baseline on the HumanEva II test data.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Howe%2C+Nicholas%22">Howe, Nicholas</searchLink><relatesTo>1</relatesTo>, <i>nhowe@cs.smith.edu</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Machine+Vision+%26+Applications%22">Machine Vision & Applications</searchLink>; Nov2011, Vol. 22 Issue 6, p995-1008, 14p, 2 Color Photographs, 3 Diagrams, 2 Charts, 2 Graphs
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=66548932
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00138-011-0344-x
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 995
    Titles:
      – TitleFull: A recognition-based motion capture baseline on the HumanEva II test data.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Howe, Nicholas
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2011
              Type: published
              Y: 2011
          Identifiers:
            – Type: issn-print
              Value: 09328092
          Numbering:
            – Type: volume
              Value: 22
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Machine Vision & Applications
              Type: main
ResultId 1