CAPNet: Context and Attribute Perception for Pedestrian Detection

CAPNet: Context and Attribute Perception for Pedestrian Detection

With a focus on practical applications in the real world, a number of challenges impede the progress of pedestrian detection. Scale variance, cluttered backgrounds and ambiguous pedestrian features are the main culprits of detection failures. According to existing studies, consistent feature fusion,...

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Bibliographic Details
Main Authors: Yueyan Zhu, Hai Huang, Huayan Yu, Aoran Chen, Guanliang Zhao
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Electronics
Subjects:
deep learning
computer vision
object detection
pedestrian detection
Online Access:https://www.mdpi.com/2079-9292/12/8/1781

Internet

https://www.mdpi.com/2079-9292/12/8/1781

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