Automatic Selection of Machine Learning Models for Armed People Identification

Automatic Selection of Machine Learning Models for Armed People Identification

This research aims to improve the automatic identification of armed people in surveillance videos. We focus on people armed with pistols and revolvers. Furthermore, we use the YOLOv4 to detect people and weapons in each video frame. We developed a series of algorithms to create a dataset with the in...

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Bibliographic Details
Main Authors: Alonso Javier Amado-Garfias, Santiago Enrique Conant-Pablos, Jose Carlos Ortiz-Bayliss, Hugo Terashima-Marin
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Machine learning
armed people detection
computer vision
object detection
YOLO
Online Access:https://ieeexplore.ieee.org/document/10763529/
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https://ieeexplore.ieee.org/document/10763529/

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