Literature Survey On Video Surveillance Crime Activity Recognition

2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR) Pub Date : 2022-03-10 DOI:10.1109/ICAITPR51569.2022.9844189

Kishore Kumar Kamarajugadda, H. Reddy

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Abstract

Presently, the video surveillance system is an important virtue for identifying crimes. The past works related to crime detection using video surveillance are discussed here. The goal of this investigation is to provide a literature review about crime activity recognition using different techniques. The main demerits of video surveillance are facial utterance recognition, and the method consumes more time for detecting the crime. An alert system provided in video surveillance improves crime prediction and also reduces crime activity. This paper presents an overview of present and past reviews for developing future research. The published journals from 2000-2020 were analyzed to know about the video surveillance and crime detection methods in different sectors. A review of the analyzed researchers and their techniques is available in this paper. This survey is useful to improve the crime detection techniques using video surveillance. Moreover, it is a useful tool to gather information.

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视频监控犯罪活动识别的文献综述

目前，视频监控系统是识别犯罪的重要手段。本文讨论了以往利用视频监控进行犯罪侦查的相关工作。本调查的目的是提供有关使用不同技术的犯罪活动识别的文献综述。视频监控的主要缺点是面部语音识别，并且该方法在检测犯罪时耗时较长。视频监控中提供的警报系统提高了犯罪预测，也减少了犯罪活动。本文对目前和过去的研究综述进行了综述，以促进未来的研究。通过对2000-2020年出版的期刊进行分析，了解不同行业的视频监控和犯罪侦查方法。本文对所分析的研究人员及其技术进行了综述。这一调查对提高视频监控的罪案侦破技术很有帮助。此外，它是收集信息的有用工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR)

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