YOLOv2PD: An Efficient Pedestrian Detection Algorithm Using Improved YOLOv2 Model

Real-time pedestrian detection is an important task for unmanned driving systems and video surveillance. The existing pedestrian detection methods often work at low speed and also fail to detect smaller and densely distributed pedestrians by losing some of their detection accuracy in such cases. The...

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Veröffentlicht in:	Computers, materials & continua materials & continua, 2021, Vol.69 (3), p.3015-3031
Hauptverfasser:	Balaram Murthy, Chintakindi, Farukh Hashmi, Mohammad, Muhammad, Ghulam, A. AlQahtani, Salman
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Cluster analysis Clustering Complexity Datasets Feature extraction Image resolution Low speed Multilayers Pedestrians Real time Vector quantization
Online-Zugang:	Volltext
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