Robust Pedestrian Detection and Path Prediction using Improved YOLOv5

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...

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Bibliographic Details
Main Authors: Kamal Omprakash Hajari, Ujwalla Gawande, Yogesh Golhar
Format: Article
Language:English
Published: Computer Vision Center Press 2022-09-01
Series:ELCVIA Electronic Letters on Computer Vision and Image Analysis
Subjects:
CNN
Deep Learning
Pedestrian Detection
Path Prediction
Computer Vision
YOLOv5
Online Access:https://elcvia.cvc.uab.cat/article/view/1538

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