Crime Scene classification of Digital Images Sourced from CCTV Footage

Authors

Keywords:

CCTV image classification, Crime Scene Identification

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.

References

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Published

2026-01-19

How to Cite

[1]
S. Biswas, S. Bhaumik, and T. Bag, “Crime Scene classification of Digital Images Sourced from CCTV Footage”, Int. J. Comp. Sci. Eng., vol. 11, no. 1, pp. 101–106, Jan. 2026.

Issue

Vol. 11 No. 1 (2023): Special Issue-1 Nov Editon

Section

Research Article

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