Automatic Dataset Expansion With Structured Feature Learning for Human Lying Pose Detection
In this study, we developed a framework to localize human lying poses by a camera positioned above. Our framework is motivated by the fact that detecting lying poses is fundamentally more difficult than detecting pedestrians or localizing nondeformable objects such as cars, roads, and buildings due...
Main Authors: | Daoxun Xia, Lingjin Zhao, Fang Guo, Xi Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8941100/ |
Similar Items
-
MacaquePose: A Novel “In the Wild” Macaque Monkey Pose Dataset for Markerless Motion Capture
by: Rollyn Labuguen, et al.
Published: (2021-01-01) -
A Human Kinetic Dataset and a Hybrid Model for 3D Human Pose Estimation
by: Wang, Jianquan
Published: (2020) -
Automatic Pose and Position Estimation by Using Spiral Codes
by: Albayrak, Aras
Published: (2014) -
RobotP: A Benchmark Dataset for 6D Object Pose Estimation
by: Honglin Yuan, et al.
Published: (2021-02-01) -
Deep Learning-Based Pose Estimation of Apples for Inspection in Logistic Centers Using Single-Perspective Imaging
by: Lino Antoni Giefer, et al.
Published: (2019-07-01)