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O-Nect: Open Source Interface for Motion Capture using RGB Camera

by Lenix Lobo
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 31
Year of Publication: 2019
Authors: Lenix Lobo
10.5120/ijca2019919216

Lenix Lobo . O-Nect: Open Source Interface for Motion Capture using RGB Camera. International Journal of Computer Applications. 178, 31 ( Jul 2019), 45-46. DOI=10.5120/ijca2019919216

@article{ 10.5120/ijca2019919216,
author = { Lenix Lobo },
title = { O-Nect: Open Source Interface for Motion Capture using RGB Camera },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2019 },
volume = { 178 },
number = { 31 },
month = { Jul },
year = { 2019 },
issn = { 0975-8887 },
pages = { 45-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number31/30739-2019919216/ },
doi = { 10.5120/ijca2019919216 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:51:58.475916+05:30
%A Lenix Lobo
%T O-Nect: Open Source Interface for Motion Capture using RGB Camera
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 31
%P 45-46
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The use of neural networks for evaluation of Human Pose Estimation has been around for a long time in the field of entertainment , gaming , modeling using Motion Capture systems. However , these systems require expensive hardware installations. Motion capture provides several advantages over traditional animation methods. However,the cost of hardware equipment ,personnel and software makes it highly ineffective for low budget designers to obtain and process the essential data for their projects. Complex movement animations and realistic physical interactions can be easily recreated using our approach with minimal hardware investment. In this paper, we discuss an open source library : O-Nect which can be utilized for Motion Capture using a simple RGB camera. Motion Capture based interactive applications could be potentially beneficial while designing interactive humanoid robots.

References
  1. Zhe Cao and Tomas Simon and Shih-En Wei and Yaser Sheikh Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields. CVPR,2017.
  2. Shih-En Wei and Varun Ramakrishna and Takeo Kanade and Yaser Sheikh Convolutional pose machines. CVPR,2016.
  3. Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, Hartwig AdamMobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications. CVPR.
  4. M. Andriluka, S. Roth, and B. SchieleMonocular 3D pose estimation and tracking by detection. CVPR,2010.
  5. V. Belagiannis and A. Zisserman.Recurrent human pose estimation. In 12th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2017
  6. X. Chen and A. Yuille Articulated pose estimation by a graphical model with image dependent pairwise relations.In NIPS, 2014
  7. P.F. Felzenszwalb and D P.Huttenlocher Pictorial structures for object recognition. In IJCV, 2005
  8. [U.IqbalandJ.Gall Multi-person pose estimation with local joint-to-person associations.In ECCV Workshops, Crowd Understanding, 2016.
  9. A. Toshev and C. Szegedy. Deeppose: Human pose estimation via deep neural networks. In CVPR, 201
Index Terms

Computer Science
Information Sciences

Keywords

O-Nect

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