Accurate and real-time object detection in crowded indoor spaces based on the fusion of DBSCAN algorithm and improved YOLOv4-tiny network

Accurate and real-time object detection in crowded indoor spaces based on the fusion of DBSCAN algorithm and improved YOLOv4-tiny network

Real-time object detection is an integral part of internet of things (IoT) application, which is an important research field of computer vision. Existing lightweight algorithms cannot handle target occlusions well in target detection tasks in indoor narrow scenes, resulting in a large number of miss...

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Bibliographic Details
Main Authors: Shen Jianing, Zhou Yang
Format: Article
Language:English
Published: De Gruyter 2023-07-01
Series:Journal of Intelligent Systems
Subjects:
iot application
computer vision
crowded scenes
occluded object detection
yolov4-tiny
dbscan
cross mini-batch normalization
mosaic data enrichment
Online Access:https://doi.org/10.1515/jisys-2022-0268

Internet

https://doi.org/10.1515/jisys-2022-0268

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