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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
HUMAN ACTIVITY RECOGNITION USING OPENCV
Authors
B.Venkata Ramana, D.Lakshmi Prasanna, M.Tejasree, C.Yasaswi
Keywords
Image capturing,Segmentation,Action Recognition,Captioning and speech output
Abstract
Human Action Recognition is an imperative research area in the field of computer vision due to its numerous applications such as person surveillance, human to object interaction, etc. Human Action Recognition is based on a pre-trained CNN model for feature extraction. Convolutional neural networks (CNN) is a technique of deep learning. Most convolutional neural networks used for recognition task are built using convolution and pooling layers followed by a few number of fully connected layers and identifying similar patterns in an interval to recognize the action by providing accuracy of 79-90% based on the task.
IJCRT's Publication Details
Unique Identification Number - IJCRT2107195
Paper ID - 209852
Page Number(s) - b581-b583
Pubished in - Volume 9 | Issue 7 | July 2021
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
B.Venkata Ramana, D.Lakshmi Prasanna, M.Tejasree, C.Yasaswi, "HUMAN ACTIVITY RECOGNITION USING OPENCV", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 7, pp.b581-b583, July 2021, Available at :http://www.ijcrt.org/papers/IJCRT2107195.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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