Discriminative Action States Discovery for Online Action Recognition
In this paper, we provide an approach for online human action recognition, where the videos are represented by frame-level descriptors. To address the large intraclass variations of frame-level descriptors, we propose an action states discovery method to discover the different distributions of frame...
Saved in:
Main Authors: | Hu, Bo, Yuan, Junsong, Wu, Yuwei |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/85997 http://hdl.handle.net/10220/43906 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
FOREGROUND-CENTRIC ACTION RECOGNITION
by: TRAN LAM AN
Published: (2018) -
Action-stage emphasized spatiotemporal VLAD for video action recognition
by: Tu, Zhigang, et al.
Published: (2021) -
TRANSFORMER TECHNIQUES FOR HUMAN ACTION RECOGNITION AND LOCALIZATION
by: CHANG SHUNING
Published: (2024) -
Multimodal multipart learning for action recognition in depth videos
by: Shahroudy, Amir, et al.
Published: (2018) -
Skeleton-based online action prediction using scale selection network
by: Liu, Jun, et al.
Published: (2022)