An investigation into viewpoint invariant pedestrian recognition for surveillance systems
Stieber, Brian M.
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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
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.
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