JOURNAL ARTICLE

Pedestrian Detection Method Based on Improved YOLOv5s for Densely Occluded Scenarios

Keywords:
Pedestrian Pedestrian detection Computer science Computer vision Artificial intelligence Transport engineering Engineering

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
10
Refs
0.13
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Advanced Neural Network Applications
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Fire Detection and Safety Systems
Physical Sciences →  Engineering →  Safety, Risk, Reliability and Quality
Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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