Deep Stacked Bidirectional LSTM Neural Network for Skeleton-Based Action Recognition
Authors:
- 28 November 2019
- book chapter
- Published by Springer Nature
- p. 676-688
Abstract
No abstract availableKeywords
This publication has 23 references indexed in Scilit:
- Spatiotemporal representation of 3D skeleton joints-based action recognition using modified spherical harmonicsPattern Recognition Letters, 2016
- Temporal Segment Networks: Towards Good Practices for Deep Action Recognition2016
- Efficient object localization using Convolutional Networks2015
- Elastic functional coding of human actions: From vector-fields to latent variables2015
- Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group2014
- Recognizing Actions from Depth Cameras as Weakly Aligned Multi-part Bag-of-Poses2013
- Fusing Spatiotemporal Features and Joints for 3D Action Recognition2013
- View invariant human action recognition using histograms of 3D joints2012
- Microsoft Kinect Sensor and Its EffectIEEE MultiMedia, 2012
- Visual perception of biological motion and a model for its analysisPerception & Psychophysics, 1973