An Improved Faster R-CNN Pedestrian Detection Algorithm Based on Feature Fusion and Context Analysis

An Improved Faster R-CNN Pedestrian Detection Algorithm Based on Feature Fusion and Context Analysis

Considering the multi-scale and occlusion problem of pedestrian detection in natural scenes, we propose an improved Faster R-CNN pedestrian detection algorithm based on feature fusion and context analysis (FCF R-CNN). We design a feature fusion method of progressive cascade on VGG16 network, and add...

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Bibliographic Details
Main Authors: Sheping Zhai, Susu Dong, Dingrong Shang, Shuhuan Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Context analysis
faster R-CNN
feature fusion
pedestrian detection
Online Access:https://ieeexplore.ieee.org/document/9151143/

Internet

https://ieeexplore.ieee.org/document/9151143/

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