@inproceedings{314c7831933f4b3da50c403b7b135d7a,
title = "Recognition method of traffic police and their command action based on kinect",
abstract = "This paper presents a method to recognise traffic police and their command actions based on Kinect. To start with, the way to detect command actions of traffic police is stated in detail. Next, the methodology for judging whether the man conducting command actions is a traffic policeman is presented. At last, the experimental results are shown to verify the rationality and validity of the proposed algorithms in different circumstances. The method of the relative relationship between human body skeletons is applied to classify different actions and it is favorable for solving the problem resulted from relative movements between Kinect and the traffic police. In addition, we employ the technique of analyzing the colors of the police uniform in the different parts of the traffic police by means of combining 3-D space and 2-D space of Kinect to estimate whether the man is a true police. Also, we convert RGB color space to Lab color space to do color segmentation so that the effects of recognition are difficult to be influenced by illumination. Finally, the results of different kinds of experiments are discussed in this paper.",
keywords = "Action recognition, Color identification, Color space, Kinect, Traffic police",
author = "Wenjie Song and Mengyin Fu and Yi Yang and Yao Chen",
note = "Publisher Copyright: {\textcopyright} 2014 TCCT, CAA.; Proceedings of the 33rd Chinese Control Conference, CCC 2014 ; Conference date: 28-07-2014 Through 30-07-2014",
year = "2014",
month = sep,
day = "11",
doi = "10.1109/ChiCC.2014.6895496",
language = "English",
series = "Proceedings of the 33rd Chinese Control Conference, CCC 2014",
publisher = "IEEE Computer Society",
pages = "3361--3366",
editor = "Shengyuan Xu and Qianchuan Zhao",
booktitle = "Proceedings of the 33rd Chinese Control Conference, CCC 2014",
address = "United States",
}