Human Pose Detection From a Digital Image With Machine Learning Technique
Munindra Kakati1 , Parismita Sarma2
Section:Research Paper, Product Type: Journal Paper
Volume-7 ,
Issue-5 , Page no. 1389-1393, May-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i5.13891393
Online published on May 31, 2019
Copyright © Munindra Kakati, Parismita Sarma . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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How to Cite this Paper
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IEEE Style Citation: Munindra Kakati, Parismita Sarma, “Human Pose Detection From a Digital Image With Machine Learning Technique,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1389-1393, 2019.
MLA Style Citation: Munindra Kakati, Parismita Sarma "Human Pose Detection From a Digital Image With Machine Learning Technique." International Journal of Computer Sciences and Engineering 7.5 (2019): 1389-1393.
APA Style Citation: Munindra Kakati, Parismita Sarma, (2019). Human Pose Detection From a Digital Image With Machine Learning Technique. International Journal of Computer Sciences and Engineering, 7(5), 1389-1393.
BibTex Style Citation:
@article{Kakati_2019,
author = {Munindra Kakati, Parismita Sarma},
title = {Human Pose Detection From a Digital Image With Machine Learning Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1389-1393},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4418},
doi = {https://doi.org/10.26438/ijcse/v7i5.13891393}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.13891393}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4418
TI - Human Pose Detection From a Digital Image With Machine Learning Technique
T2 - International Journal of Computer Sciences and Engineering
AU - Munindra Kakati, Parismita Sarma
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1389-1393
IS - 5
VL - 7
SN - 2347-2693
ER -
VIEWS | XML | |
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Abstract
Continuous development of Information Technology in the field of computer vision and digital image processing has brought new hope to many unfold problems of our daily life. In digital image area problems are solved by representing image as set of pixels with different amplitudes. These pixels are sent as input to the computer system and the system process these values using different algorithms. In this paper, we are working on a model, which is capable of automatically recognizing sitting and standing poses of human from digital photographs. We are also able to tag the respective images with correct pose. In this paper, we have shown standing and sitting poses which are executed using Matlab machine learning technique.
Key-Words / Index Term
Computer vision, Image processing, Human pose, HOG
References
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