SUSPICIOUS ACTIVITY DETECTION AND ALERT SYSTEM

SUSPICIOUS ACTIVITY DETECTION AND ALERT SYSTEM

Registration ID: IJNRD_195422

Published ID: IJNRD2305443

DOI: Click Here to Get

DINESH BABU K , NATHASHA R

Activity detection; segmentation; alert system

Video Surveillance plays a pivotal role in today's world. The technologies have been advanced too much when artificial intelligence, machine learning and deep learning pitched into the system. Using above combinations, different systems are in place which helps to differentiate various suspicious behaviours from the live tracking of footages. The most unpredictable one is human behaviour and it is very difficult to find whether it is suspicious or normal. Deep learning approach is used to detect suspicious or normal activity in an academic environment, and which sends an alert message to the corresponding authority, in case of predicting a suspicious activity. Monitoring is often performed through consecutive frames which are extracted from the video. The entire framework is divided into two parts. In the first part, the features are computed from video frames and in second part, based on the obtained features classifier predict the class as suspicious or normal.

Published Paper   E-Certificate

"SUSPICIOUS ACTIVITY DETECTION AND ALERT SYSTEM", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e382-e387, May-2023, Available :https://ijnrd.org/papers/IJNRD2305443.pdf

Volume 8 Issue 5, May-2023

Pages : e382-e387

Paper Reg. ID: IJNRD_195422

Published Paper Id: IJNRD2305443

Downloads: 000121156

Research Area: Engineering

Country: KANCHIPURAM, TAMILNADU, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305443.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305443

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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