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dc.contributor.advisor Moustafa, Mohamed N.
dc.contributor.author Oreaba, Mohammad Hamdy
dc.date.accessioned 2017-05-17T11:56:30Z
dc.date.available 2017-05-17T22:00:16Z
dc.date.created Spring 2017 en_US
dc.date.issued 2017-05-17
dc.identifier.uri http://dar.aucegypt.edu/handle/10526/5118
dc.description.abstract In this thesis, we address the problem of two-dimensional human pose estimation (HPE) from a single viewpoint. While many approaches to estimate the 2D human pose from a single viewpoint exist, the estimated joints’ locations with respect to the viewpoint are often disregarded. This limits the overall accuracy of localizing the human body parts. To address this limitation, we define a novel problem in 2D HPE: the Confusion of Body Sides (CBS). We show the CBS problem in many 2D HPE approaches as well as in the state-of-the-art methods. In order to overcome the CBS problem, we introduce SHAPE: Smart Human Articulated Pose Estimation. We demonstrate how SHAPE can be plugged into a 2D HPE algorithm to solve the CBS problem. We report our qualitative and quantitative results on our proposed challenging dataset: ‘Humans AUC’ as well as on two popular HPE benchmark datasets: ‘KTH Multiview Football dataset II’ [1] and ‘Image Parsing’ [2]. Our approach is shown to make a notable 2D HPE approach [3] viewpoint-invariant and enhance the accuracy by 20% on average. en_US
dc.description.sponsorship I would also like to recognize SAFRAN-France (MORPHO) for sponsoring a fundamental part of this work under the Research Award Program. en_US
dc.format.extent 110 p. en_US
dc.format.medium datasets en_US
dc.format.medium surveys (documents) en_US
dc.format.medium theses en_US
dc.language.iso en en_US
dc.rights Author retains all rights with regard to copyright. en
dc.subject Computer vision en_US
dc.subject Human Pose Estimation en_US
dc.subject Confusion of Body Sides en_US
dc.subject.lcsh Thesis (M.S.)--American University in Cairo en_US
dc.title Solving the confusion of body sides problem in two-dimensional human pose estimation en_US
dc.type Dataset en_US
dc.type Moving Image en_US
dc.type Still Image en_US
dc.type Text en_US
dc.subject.discipline Computer Science en_US
dc.rights.access This item is available en_US
dc.contributor.department American University in Cairo. Dept. of Computer Science and Engineering en_US
dc.description.irb American University in Cairo Institutional Review Board approval has been obtained for this item. en_US
dc.contributor.committeeMember Khalil, Mahmoud
dc.contributor.committeeMember Mikhail, Mikhail


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  • Theses and Dissertations [1725]
    This collection includes theses and dissertations authored by American University in Cairo graduate students.

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