UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIRCS06050


Registration ID:
211817

Page Number

222-227

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Title

3D pose estimation using CNN and 3D depth map probabilistic model.

Abstract

We have integrated the techniques of 3D pose estimation and action recognition from 2D images. By using Convolutional Neural network and training the network by providing a set of images from the pretrained data for detection of pose from the images. This estimation of the pose will further be used for the human computer interface for other projects. With this method we intend to reduce the challenges between 2D joint detection and 3D pose/model reconstruction.

Key Words

Convolutional Neural network (CNN), Pose estimation, Action recognition , Kinect

Cite This Article

"3D pose estimation using CNN and 3D depth map probabilistic model.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.222-227, May 2019, Available :http://www.jetir.org/papers/JETIRCS06050.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"3D pose estimation using CNN and 3D depth map probabilistic model.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp222-227, May 2019, Available at : http://www.jetir.org/papers/JETIRCS06050.pdf

Publication Details

Published Paper ID: JETIRCS06050
Registration ID: 211817
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 222-227
Country: -, --, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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