Sensor Fusion Approach for Multiple Human Motion Detection for Indoor Surveillance Use-Case

Sensor Fusion Approach for Multiple Human Motion Detection for Indoor Surveillance Use-Case

Multi-human detection and tracking in indoor surveillance is a challenging task due to various factors such as occlusions, illumination changes, and complex human-human and human-object interactions. In this study, we address these challenges by exploring the benefits of a low-level sensor fusion ap...

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Bibliographic Details
Main Authors: Ali Abbasi, Sandro Queirós, Nuno M. C. da Costa, Jaime C. Fonseca, João Borges
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Sensors
Subjects:
neuromorphic vision sensor
multiple human motion detection and tracking
multi-modal data
sensor fusion
indoor surveillance
event-based data
Online Access:https://www.mdpi.com/1424-8220/23/8/3993

Internet

https://www.mdpi.com/1424-8220/23/8/3993

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