LSTM-based real-time action detection and prediction in human motion streams
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
LSTM-based real-time action detection and prediction in human motion streams
Authors
Keywords
Motion capture data, Stream annotation, Action detection and recognition, Action prediction, LSTM
Journal
MULTIMEDIA TOOLS AND APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-06-18
DOI
10.1007/s11042-019-07827-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Early Recognition of 3D Human Actions
- (2018) Sheng Li et al. ACM Transactions on Multimedia Computing Communications and Applications
- Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks
- (2018) Jun Liu et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Spatio-Temporal Attention-Based LSTM Networks for 3D Action Recognition and Detection
- (2018) Sijie Song et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Multimodal Machine Learning: A Survey and Taxonomy
- (2018) Tadas Baltrusaitis et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Robust Visual Tracking Based on Convolutional Features with Illumination and Occlusion Handing
- (2018) Kang Li et al. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
- Convolutional Neural Networks and Long Short-Term Memory for skeleton-based human activity and hand gesture recognition
- (2018) Juan C. Núñez et al. PATTERN RECOGNITION
- CuDi3D: Curvilinear displacement based approach for online 3D action detection
- (2018) Said Yacine Boulahia et al. COMPUTER VISION AND IMAGE UNDERSTANDING
- Efficient Unsupervised Temporal Segmentation of Motion Data
- (2017) Bjorn Kruger et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Behavioral segmentation for human motion capture data based on graph cut method
- (2017) Xiaomin Yu et al. JOURNAL OF VISUAL LANGUAGES AND COMPUTING
- Effective and efficient similarity searching in motion capture data
- (2017) Jan Sedmidubsky et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Learning multi-level features for sensor-based human action recognition
- (2017) Yan Xu et al. Pervasive and Mobile Computing
- A survey of depth and inertial sensor fusion for human action recognition
- (2015) Chen Chen et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Recognizing human motions through mixture modeling of inertial data
- (2015) Matthew Field et al. PATTERN RECOGNITION
- Structured Streaming Skeleton -- A New Feature for Online Human Gesture Recognition
- (2014) Xin Zhao et al. ACM Transactions on Multimedia Computing Communications and Applications
- Automatic Human Mocap Data Classification
- (2014) Harshad Kadu et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Ongoing human action recognition with motion capture
- (2013) Mathieu Barnachon et al. PATTERN RECOGNITION
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started