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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19456
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
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| Paper Title: | Detecting Human Suspicious Behavior Using CNN for Video Surveillance |
| Authors Name: | Shyam Sunder Reddy Dodla , Devi Priya Ramini |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_187889
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| Published Paper Id: | IJRTI2308065 |
| Published In: | Volume 8 Issue 8, August-2023 |
| DOI: | |
| Abstract: | Due to a rise in antisocial activity, security has recently been given primary importance. Several organizations have installed CCTVs to continuously watch over people and their interactions. In a contemporary nation of 64 million people, every individual is photographed 30 times every day. Large amounts of video data are generated and stored for a predetermined period of time. An image with a resolution of 704x576 and a frame rate of 25 will generate around 20GB each day. Since it requires a workforce and constant attention, determining whether the events are abnormal is nearly impossible for people to do while continuously monitoring data. This necessitates automating the same procedure. Additionally, it is important to demonstrate which frame and which regions of it exhibit aberrant activity. This will aid in determining the activity's abnormality more quickly. To do this, a video is divided into frames, and the individuals and activities in each frame are examined using processing software. In a broad sense, deep learning and machine learning algorithms and techniques assist us in making. |
| Keywords: | antisocial, aberrant activity, abnormality, automation. |
| Cite Article: | "Detecting Human Suspicious Behavior Using CNN for Video Surveillance", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 8, page no.398 - 405, August-2023, Available :http://www.ijrti.org/papers/IJRTI2308065.pdf |
| Downloads: | 000205089 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2308065
Registration ID:187889
Published In: Volume 8 Issue 8, August-2023
DOI (Digital Object Identifier):
Page No: 398 - 405 Country: Hyderabad, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2308065 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2308065 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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