University of Illinois Urbana-Champaign

An investigation into viewpoint invariant pedestrian recognition for surveillance systems

Stieber, Brian M.

Content Files
1_Stieber_Brian.pdf
References.bib

Permalink

https://hdl.handle.net/2142/16499

Description

Title
An investigation into viewpoint invariant pedestrian recognition for surveillance systems
Author(s)
Stieber, Brian M.
Issue Date
2010-06-22T19:46:42Z
Director of Research (if dissertation) or Advisor (if thesis)
Huang, Thomas S.
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2010-06-22T19:46:42Z
Keyword(s)
  • viewpoint invariant
  • pedestrian recognition
  • non-overlapping cameras
  • large margin nearest neighbor
Abstract
This is a study of viewpoint invariant appearance models for pedestrian recognition. The study investigates basic models, color histograms and region based histograms, to gain intuition about the appearance models as well as create new baseline results for evaluating future appearance models. This insight is then used to create an appearance model based on large-margin nearest-neighbor classication. This model significantly outperforms the current state of the art. Finally, the IFP Image Processor, a basic framework for implementation of surveillance systems algorithms, is introduced.
Graduation Semester
2010-5
Permalink
http://hdl.handle.net/2142/16499
Copyright and License Information
Copyright 2010 Brian M. Stieber

Owning Collections

Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at Illinois
Dissertations and Theses - Electrical and Computer Engineering
Dissertations and Theses in Electrical and Computer Engineering