INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
High Accuracy of Human Activity Identification Video By Using ANN Methodology
Authors Name:
Sapana Mahajan
, Hemant Amhia
Unique Id:
IJSDR1905053
Published In:
Volume 4 Issue 5, May-2019
Abstract:
This paper presents a Neural Network for the classification of human activity. In this paper work watershed segmentation technique takes regarding more time taken by the k-means bunch technique. It is easy to apply to even large data sets. Though the HSV color area was found higher results than the RGB color area. Just in case of "difficult Queries". K-means rule has been estimated and also the iterations taken was abundant less than that of k-mean and artificial Neural Network based schemes. Mostly k-means based schemes discover and therefore, categories accurately. The impact of formation, emigration schemes, rate and kind of migration on the speed coincidence has been studied and it had been searched that the emigration policy and rate of migration greatly influence the convergence rate.
Keywords:
k-means of bunch, c-means of bunch, watershed segmentation, artificial neural network.
Cite Article:
"High Accuracy of Human Activity Identification Video By Using ANN Methodology", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 5, page no.306 - 310, May-2019, Available :http://www.ijsdr.org/papers/IJSDR1905053.pdf
Downloads:
000337070
Publication Details:
Published Paper ID: IJSDR1905053
Registration ID:190553
Published In: Volume 4 Issue 5, May-2019
DOI (Digital Object Identifier):
Page No: 306 - 310
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
Facebook Twitter Instagram LinkedIn