Hough or not Hough for Pedestrian Detections

Show simple item record

dc.contributor.advisor Klette, R en
dc.contributor.author Lin, Juan en
dc.date.accessioned 2013-12-16T20:01:53Z en
dc.date.issued 2013 en
dc.identifier.uri http://hdl.handle.net/2292/21278 en
dc.description Full text is available to authenticated members of The University of Auckland only. en
dc.description.abstract Pedestrian detection is a key problem in various computer vision applications, such as driver-assistance or surveillance systems. A Hough forest framework is based on the idea of a discriminative codebook learning of the appearance of patches from an object. It uses a Hough voting process with regard to the centroid of the object class. This thesis compares the Hough forest detector with a more general random forest detector which uses other classes alone with “pedestrian” and “background” classes, but does not use a centroid voting process. Regarding the general random forest detector, the thesis proposes a new framework which takes advantage of stereo vision to estimate the height of pedestrians by using disparity maps. A random forest classifier considers class probabilities of a candidate from a region of interest with respect to nine classes; eight classes define pedestrians, and one class defines the background. Both approaches (Hough forest or random forest) are tested on a few datasets for pedestrian detection. The detailed results are used for a comparative evaluation of both approaches. Keywords: Hough Forests, Random Forests, Pedestrian Detection en
dc.publisher ResearchSpace@Auckland en
dc.relation.ispartof Masters Thesis - University of Auckland en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights Restricted Item. Available to authenticated members of The University of Auckland. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/nz/ en
dc.title Hough or not Hough for Pedestrian Detections en
dc.type Thesis en
thesis.degree.grantor The University of Auckland en
thesis.degree.level Masters en
dc.rights.holder Copyright: The Author en
pubs.elements-id 418853 en
pubs.record-created-at-source-date 2013-12-17 en


Files in this item

Find Full text

This item appears in the following Collection(s)

Show simple item record

Share

Search ResearchSpace


Browse

Statistics