English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  A learning-based computer vision approach for the inference of articulated motion

Curio, C. (2005). A learning-based computer vision approach for the inference of articulated motion. PhD Thesis, Ruhr-Universität Bochum, Bochum, Germany.

Item is

Files

show Files

Creators

show
hide
 Creators:
Curio, C1, Author              
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: Computer vision approaches to human motion analysis have received considerable attention from different research areas over the past couple of years. The strong interest is largely due to their various applications in surveillance, driver assistance systems, human-computer interfaces, marker-less motion capture, biomedical engineering and computer graphics. This thesis investigates the computational integration of different visual representations for the detection of human bodies and the analysis of their movements in both indoor and unconstrained outdoor environments. New image coding schemes are presented in combination with methods from machine learning and dynamic filtering to address issues of complexity, robustness and generalization.

Details

show
hide
Language(s):
 Dates: 2005-12
 Publication Status: Published in print
 Pages: 187
 Publishing info: Bochum, Germany : Ruhr-Universität Bochum
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 5814
 Degree: PhD

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: A learning-based computer vision approach for the inference of articulated motion
Source Genre: Book
 Creator(s):
Affiliations:
Publ. Info: Stuttgart, Germany : ibidem-Verlag
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISBN: 3-89821-602-0