Human Shape and Pose Tracking Using Keyframes
By Chun-Hao Paul Huang, Edmond Boyer, Nassir Navab, Slobodan Ilic. 2014
34 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Pascal Fua
- Mathieu Salzmann
- Luc Van Gool
- Vincent Lepetit
- Bugra Tekin
- Andrew Zisserman
- Jitendra Malik
- Cordelia Schmid
Citations in the corpus
- Space-Time Representation of People Based on 3D Skeletal Data: A Review (2016, methodology): “[186] proposed to utilize hand-crafted features including skeletal joint positions to locate key frames and track humans from a”
- Structured Prediction of 3D Human Pose with Deep Neural Networks (2016, background): “3D human pose can now be estimated reliably by training algorithms to exploit depth data [7, 27] or video sequences [3, 11, 30].”