FASSD-Net Model for Person Semantic Segmentation

FASSD-Net Model for Person Semantic Segmentation

This paper proposes the use of the FASSD-Net model for semantic segmentation of human silhouettes, these silhouettes can later be used in various applications that require specific characteristics of human interaction observed in video sequences for the understanding of human activities or for human...

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Bibliographic Details
Main Authors: Luis Brandon Garcia-Ortiz, Jose Portillo-Portillo, Aldo Hernandez-Suarez, Jesus Olivares-Mercado, Gabriel Sanchez-Perez, Karina Toscano-Medina, Hector Perez-Meana, Gibran Benitez-Garcia
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Electronics
Subjects:
semantic segmentation
person class
deep learning
human silhouette
cityscapes
Online Access:https://www.mdpi.com/2079-9292/10/12/1393

Internet

https://www.mdpi.com/2079-9292/10/12/1393

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