Crime Detection In Videos And Alerting System Using Artificial Intelligence
Main Article Content
Abstract
During the last few decades, surveillance cameras have been installed in different locations just to watch manually. Object detection and analysis of the information captured using these cameras can play effective roles in event prediction, monitoring video feeds and goal-driven analysis applications including anomalies or intrusion detection. Large number of Artificial Intelligence techniques has been used to detect anomalies; amongst them Convolutional Neural Networks (CNN) using deep learning techniques improved the detection accuracy significantly. The goal of this article is to propose a new method based on deep learning techniques for Crime detection in video surveillance cameras. The proposed method has been evaluated in the UCSD dataset, and showed an increase in the accuracy of the Crime detection
Downloads
Download data is not yet available.
Metrics
Metrics Loading ...
Article Details
How to Cite
et. al., G. M. V. . (2021). Crime Detection In Videos And Alerting System Using Artificial Intelligence. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(12), 738–743. https://doi.org/10.17762/turcomat.v12i12.7460
Issue
Section
Articles
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.