Improved Convolutional Pose Machines for Human Pose Estimation Using Image Sensor Data

In recent years, increasing human data comes from image sensors. In this paper, a novel approach combining convolutional pose machines (CPMs) with GoogLeNet is proposed for human pose estimation using image sensor data. The first stage of the CPMs directly generates a response map of each human skel...

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Detalles Bibliográficos
Autores principales: Qiang, Baohua, Zhang, Shihao, Zhan, Yongsong, Xie, Wu, Zhao, Tian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386920/
https://www.ncbi.nlm.nih.gov/pubmed/30744191
http://dx.doi.org/10.3390/s19030718

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386920/
https://www.ncbi.nlm.nih.gov/pubmed/30744191
http://dx.doi.org/10.3390/s19030718

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