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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM38071

Object Detection Algorithms for Video Surveillance Applications

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM38071

Volume:

8 |

10 |

Oct 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

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10.55041/IJSREM38071

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AS

A. Swapna

CG

C.R.K. Gayatri

SKKKV

Sai Kishan Kranthi Kumar Vuriti

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Abstract

Object Detection algorithms find applications in various fields, such as defense, security, and healthcare. In this paper, various Object Detection Algorithms, such as face detection, skin detection, color detection, shape detection, and target detection, are simulated and implemented using MATLAB 2017b to detect various types of objects with improved accuracy for video surveillance applications. Further, various challenges and applications of object detection methods are elaborated.

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Cite This Article

A. Swapna, C.R.K. Gayatri, Sai Kishan Kranthi Kumar Vuriti, "Object Detection Algorithms for Video Surveillance Applications," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 10, Oct 2024. https://doi.org/10.55041/IJSREM38071

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10/22/2024

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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