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Crime Scene classification of Digital Images Sourced from CCTV Footage

Saumitra Biswas1 , Sanchayan Bhaumik2 , Tanay Bag3

Section:Research Paper, Product Type: Journal Paper
Volume-11 , Issue-01 , Page no. 101-106, Nov-2023

Online published on Nov 30, 2023

Copyright © Saumitra Biswas, Sanchayan Bhaumik, Tanay Bag . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Saumitra Biswas, Sanchayan Bhaumik, Tanay Bag, “Crime Scene classification of Digital Images Sourced from CCTV Footage,” International Journal of Computer Sciences and Engineering, Vol.11, Issue.01, pp.101-106, 2023.

MLA Style Citation: Saumitra Biswas, Sanchayan Bhaumik, Tanay Bag "Crime Scene classification of Digital Images Sourced from CCTV Footage." International Journal of Computer Sciences and Engineering 11.01 (2023): 101-106.

APA Style Citation: Saumitra Biswas, Sanchayan Bhaumik, Tanay Bag, (2023). Crime Scene classification of Digital Images Sourced from CCTV Footage. International Journal of Computer Sciences and Engineering, 11(01), 101-106.

BibTex Style Citation:
@article{Biswas_2023,
author = {Saumitra Biswas, Sanchayan Bhaumik, Tanay Bag},
title = {Crime Scene classification of Digital Images Sourced from CCTV Footage},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2023},
volume = {11},
Issue = {01},
month = {11},
year = {2023},
issn = {2347-2693},
pages = {101-106},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1419},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1419
TI - Crime Scene classification of Digital Images Sourced from CCTV Footage
T2 - International Journal of Computer Sciences and Engineering
AU - Saumitra Biswas, Sanchayan Bhaumik, Tanay Bag
PY - 2023
DA - 2023/11/30
PB - IJCSE, Indore, INDIA
SP - 101-106
IS - 01
VL - 11
SN - 2347-2693
ER -

           

Abstract

CCTV image classification using machine learning algorithm is a novel way of using machine learning for security. This paper investigates how classification can be done using statistical indicators of image pixels without employing extensive image processing techniques. It further performs comparative study of performances of some commonly used classification algorithms in classifying images. The highest performance was by the K-Nearest Neighbor classifier with accuracy, precision, and recall scores of 95\%, 90\%, and 100\% respectively.

Key-Words / Index Term

CCTV image classification, Crime Scene Identification, CCTV Footage Analysis, Machine Learning, CCTV Security, Classification Algorithm.

References

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