all AI news
Attire-Based Anomaly Detection in Restricted Areas Using YOLOv8 for Enhanced CCTV Security
April 2, 2024, 7:47 p.m. | Abdul Aziz A. B, Aindri Bajpai
cs.CV updates on arXiv.org arxiv.org
Abstract: This research introduces an innovative security enhancement approach, employing advanced image analysis and soft computing. The focus is on an intelligent surveillance system that detects unauthorized individuals in restricted areas by analyzing attire. Traditional security measures face challenges in monitoring unauthorized access. Leveraging YOLOv8, an advanced object detection algorithm, our system identifies authorized personnel based on their attire in CCTV footage. The methodology involves training the YOLOv8 model on a comprehensive dataset of uniform patterns, …
abstract advanced analysis anomaly anomaly detection arxiv cctv challenges computing cs.cv detection face focus image intelligent monitoring research security surveillance type yolov8
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
MLOps Engineer - Hybrid Intelligence
@ Capgemini | Madrid, M, ES
Analista de Business Intelligence (Industry Insights)
@ NielsenIQ | Cotia, Brazil