@inproceedings{a10c9fe6184c4d368a2203c5f60e9db4,
title = "A deep model combining structural features and context cues for action recognition in static images",
abstract = "In this paper, we present a deep model for the task of action recognition in static images, which combines body structural information and context cues to build a more accurate classifier. Moreover, to construct more semantic and robust body structural features, we propose a new body descriptor, named limb angle discriptor(LAD), which uses the relative angles between the limbs in 2D skeleton. We evaluate our method on the PASCAL VOC 2012 Action dataset and compare it with the published results. The result shows that our method achieves 90.6% mean AP, outperforming the previous state-of-art approaches in the field.",
keywords = "Action recognition, Body descriptor, Context cue, Deep model",
author = "Xinxin Wang and Kan Li and Yang Li",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 24th International Conference on Neural Information Processing, ICONIP 2017 ; Conference date: 14-11-2017 Through 18-11-2017",
year = "2017",
doi = "10.1007/978-3-319-70136-3_66",
language = "English",
isbn = "9783319701356",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "622--632",
editor = "Derong Liu and Shengli Xie and Dongbin Zhao and Yuanqing Li and El-Alfy, {El-Sayed M.}",
booktitle = "Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings",
address = "Germany",
}