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Title:An investigation into viewpoint invariant pedestrian recognition for surveillance systems
Author(s):Stieber, Brian M.
Advisor(s):Huang, Thomas S.
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(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.
Issue Date:2010-06-22
URI:http://hdl.handle.net/2142/16499
Rights Information:Copyright 2010 Brian M. Stieber
Date Available in IDEALS:2010-06-22
Date Deposited:May 2010


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