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

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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Bibliographic Details
Main Authors: Baohua Qiang, Shihao Zhang, Yongsong Zhan, Wu Xie, Tian Zhao
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Sensors
Subjects:
human pose estimation
convolutional pose machines
GoogLeNet
fine-tuning
image sensor
Online Access:https://www.mdpi.com/1424-8220/19/3/718

Internet

https://www.mdpi.com/1424-8220/19/3/718

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