Feature Channel Expansion and Background Suppression as the Enhancement for Infrared Pedestrian Detection

Feature Channel Expansion and Background Suppression as the Enhancement for Infrared Pedestrian Detection

Pedestrian detection is an important task in many intelligent systems, particularly driver assistance systems. Recent studies on pedestrian detection in infrared (IR) imagery have employed data-driven approaches. However, two problems in deep learning-based detection are the implicit performance and...

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Bibliographic Details
Main Authors: Shengzhe Wang, Bo Wang, Shifeng Wang, Yifeng Tang
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
feature fusion
background suppression
pedestrian detection
infrared image enhancement
fusion of saliency maps
Online Access:https://www.mdpi.com/1424-8220/20/18/5128

Internet

https://www.mdpi.com/1424-8220/20/18/5128

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