Work

Robust Alzheimer’s Patient Detection and Tracking for Room Entry Monitoring Using YOLOv8 and Cross Product Analysis

Year: 2025

Type: article

Abstract: Recent advances in computer vision and artificial intelligence (AI) have made real-time people counting systems extremely reliable, with experts in crowd control, occupancy supervision, and security. To improve the accuracy o... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.062686

Authors: Praveen Kumar Sekharamantry, Farid Melgani, Roberto Delfiore, Stefano Lusardi

Institutions: University of Trento, GITAM University

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4409565168

FWCI: 0.375

Cites:

Cited by: 1

Related to: 10