Robust Pedestrian Detection and Path Prediction using Improved YOLOv5
In vision-based surveillance systems, pedestrian recognition and path prediction are critical concerns. Advanced computer vision applications, on the other hand, confront numerous challenges due to differences in pedestrian postures and scales, backdrops, and occlusion. To tackle these challenges, w...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Computer Vision Center Press
2022-09-01
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Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
Subjects: | |
Online Access: | https://elcvia.cvc.uab.cat/article/view/1538 |