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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
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
ANOMALY DETECTION SYSTEM USING MACHINE LEARNING
Authors
Vaishnavi Raje, Dnyaneshwar Madake, Priyanka Thosar, Vishal Kashid
Keywords
Machine Learning, Recurrent Neural Network, Convolution Neural Network
Abstract
: Anomaly activity is predicting the body part or joint locations of a person from an image or video. This project will entail detecting suspicious human activity from real-time CCTV footage using neural networks. Human Anomaly Activity is one of the key problems in computer vision that has been studied for more than 15years. Suspicious human activity recognition from surveillance, human activities is an active research area for image processing and computer vision.
IJCRT's Publication Details
Unique Identification Number - IJCRT2205499
Paper ID - 220068
Page Number(s) - e436-e443
Pubished in - Volume 10 | Issue 5 | May 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Vaishnavi Raje, Dnyaneshwar Madake, Priyanka Thosar, Vishal Kashid, "ANOMALY DETECTION SYSTEM USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 5, pp.e436-e443, May 2022, Available at :http://www.ijcrt.org/papers/IJCRT2205499.pdf
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Volume 12 | Issue 5
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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