RPEE-Heads Benchmark: A Dataset and Empirical Comparison of Deep Learning Algorithms for Pedestrian Head Detection in Crowds

The automatic detection of pedestrian heads in crowded environments is essential for crowd analysis and management tasks, particularly in high-risk settings such as high dense railway platforms and event entrances. These environments, characterized by dense crowds and dynamic movements, are underrep...

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Vydáno v:	IEEE access Ročník 13; s. 73451 - 73467
Hlavní autoři:	Abubaker, Mohamad, Alsadder, Zubayda, Abdelhaq, Hamed, Boltes, Maik, Alia, Ahmed
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 2025
Témata:	Accuracy Annotations Computer vision Deep learning Head machine learning Magnetic heads object detection algorithms pedestrian head detection Pedestrians public dataset Rail transportation railway platforms and event entrances real-time detection transformer Training Transformers YOLO you only look once
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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