JOURNAL ARTICLE
Pedestrian Detection Method Based on Improved YOLOv5s for Densely Occluded Scenarios
Rongting PanGuofeng QinYongjian ZhuPeiwen MiMing Li
Year: 2024 Vol: 28 Pages: 102-105
Keywords:
Pedestrian Pedestrian detection Computer science Computer vision Artificial intelligence Transport engineering Engineering
Metrics
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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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