@inproceedings{7340d5400d094dd9ba15c7b6a9cd0e16,
title = "Real-time human action recognition using individual body part locations and local joints structure",
abstract = "In this paper, we present a novel approach for real-time human action recognition using local joints structure and body part locations. Individual body part locations are global features that ignore the local structure information of the human body joints, which is also essential for accurate action recognition. To cope with this problem, we propose local joints structure as a complement, and combine the two features for posture description in our method. We then perform classification using a combination of dynamic time warping, Fourier temporal pyramid representation and linear SVM. Experiments results on three action datasets show that the proposed representation outperforms many existing skeletal representations.",
keywords = "Body part locations, Human action recognition, Local joints structure, SVMs",
author = "Liqiang Du and Hong Chen and Shuli Mei and Qing Wang",
note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 15th ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Applications in Industry, VRCAI 2016 ; Conference date: 03-12-2016 Through 04-12-2016",
year = "2016",
month = dec,
day = "3",
doi = "10.1145/3013971.3013974",
language = "英语",
series = "Proceedings - VRCAI 2016: 15th ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Applications in Industry",
publisher = "Association for Computing Machinery, Inc",
pages = "293--298",
editor = "Spencer, \{Stephen N.\}",
booktitle = "Proceedings - VRCAI 2016",
}