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  Published Paper Details:

  Paper Title

REVIEW OF LITERATURE SURVEY ON DIFFERENT HUMAN POSE ESTIMATION AND POSE COMPARISON TECHNIQUES.

  Authors

  Deep Gojariya,  Vatsal Shah,  Viraj Vaghasia

  Keywords

Pose Estimation, Key-points, CNN (Convolutional Neural Network), FPS (Frames per Second), Computer Vision, Dynamic Time Warping, PAF (Part affinity fields).

  Abstract


Computer vision is a very good application of deep learning and is used to solve many problems in the vision category. One of its applications is Human pose estimation. Using pose estimation various applications can be made such as yoga training, physiotherapy training, also pose estimation can be used in sports analytics. Due to its wide range of application, it becomes very much important to learn how the things actually work and how the poses are estimated from a moving video or a still image. This paper consists of the literature-study related to how human pose estimation works and by which techniques one can perform the pose estimation along with that some pose comparison methods are also discussed in the paper which are required for developing the above-mentioned applications.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2110194

  Paper ID - 212491

  Page Number(s) - b623-b626

  Pubished in - Volume 9 | Issue 10 | October 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Deep Gojariya,  Vatsal Shah,  Viraj Vaghasia,   "REVIEW OF LITERATURE SURVEY ON DIFFERENT HUMAN POSE ESTIMATION AND POSE COMPARISON TECHNIQUES.", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 10, pp.b623-b626, October 2021, Available at :http://www.ijcrt.org/papers/IJCRT2110194.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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