Investigating pose representations and motion contexts modeling for 3D motion prediction
Predicting human motion from historical pose sequence is crucial for a machine to succeed in intelligent interactions with humans. One aspect that has been obviated so far, is the fact that how we represent the skeletal pose has a critical impact on the prediction results. Yet there is no effort tha...
Saved in:
Main Authors: | Liu, Zhenguang, Wu, Shuang, Jin, Shuyuan, Liu, Qi, Ji, Shouling, Lu, Shijian, Cheng, Li |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/162631 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Simultaneous camera pose and correspondence estimation with motion coherence
by: Lin, W.-Y., et al.
Published: (2014) -
Mutually reinforcing motion-pose framework for pose invariant action recognition
by: Ramanathan, Manoj, et al.
Published: (2020) -
VIDEO BASED MOTION TRAJECTORY ANALYSIS OF PEDESTRIANS
by: ARUN KUMAR CHANDRAN
Published: (2015) -
MINIMAL BASIS REPRESENTATION FOR GENERAL MOTION SEGMENTATION
by: LEE CHOON MENG
Published: (2014) -
Simultaneous camera pose and correspondence estimation with motion coherence
by: LIN, Wen-yan, et al.
Published: (2012)