@inproceedings{1a60e73feb0b4c01b0309ab1bedb0043,
title = "Prediction of human body motion from video sequences",
abstract = "Learning to predict human body motion has emerged as a meaningful research in computer vision and artificial intelligence. This paper presents the study on predicting human body motion from video sequences. We propose a human body motion prediction network integrating the recent advanced 2D feature extraction and video sequences prediction. Based on the temporal characteristics extracted from video sequences, our network realizes the prediction of the human motion. We train the network using the video based human pose datasets and demonstrate good performance of our network on 2D human body motion prediction through quantitative and qualitative results. Experimental results prove the feasibility of our method.",
keywords = "Convolutional neural network, Human body motion prediction, Recurrent neural networks, Video analysis",
author = "Zhuoheng Huang and Yue Yu and Xiangru Chen and Wei Wei",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 18th IEEE International Conference on Communication Technology, ICCT 2018 ; Conference date: 08-10-2018 Through 11-10-2018",
year = "2019",
month = jan,
day = "2",
doi = "10.1109/ICCT.2018.8600154",
language = "English",
series = "International Conference on Communication Technology Proceedings, ICCT",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1227--1231",
booktitle = "2018 18th IEEE International Conference on Communication Technology, ICCT 2018",
address = "United States",
}