Enhanced YOLOv8-Based Model with Context Enrichment Module for Crowd Counting in Complex Drone Imagery

Enhanced YOLOv8-Based Model with Context Enrichment Module for Crowd Counting in Complex Drone Imagery

Crowd counting in aerial images presents unique challenges due to varying altitudes, angles, and cluttered backgrounds. Additionally, the small size of targets, often occupying only a few pixels in high-resolution images, further complicates the problem. Current crowd counting models struggle in the...

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Bibliographic Details
Main Authors: Abdullah N. Alhawsawi, Sultan Daud Khan, Faizan Ur Rehman
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Remote Sensing
Subjects:
crowd counting
tiny target detection
aerial images
deep learning
YOLOv8
Online Access:https://www.mdpi.com/2072-4292/16/22/4175
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