Detection-Driven Gaussian Mixture Probability Hypothesis Density Multi-Target Tracker for Airborne Infrared Platforms

Detection-Driven Gaussian Mixture Probability Hypothesis Density Multi-Target Tracker for Airborne Infrared Platforms

Recent advancements in the unmanned aerial vehicle remote sensing field have highlighted the effectiveness of infrared sensors in detecting and tracking time-sensitive ground targets, particularly within the domain of early warning and surveillance. However, the limitations inherent in airborne infr...

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Bibliographic Details
Main Authors: Mingyu Hong, Jiarong Wang, Ming Zhu, Shenyi Cao, Haitao Nie, Xiangdong Xu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
infrared object
UAV
target tracking
object detection
yolov10
GM-PHD filter
Online Access:https://www.mdpi.com/1424-8220/25/11/3491
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