@inproceedings{7d679dc0210648fda53b3f4e9a70075c,
title = "Tracking for humanoid robot based on Kinect",
abstract = "According to the high requirement in environment of tracking for humanoid robot based on vision, a recognition algorithm and control method is present using depth information extraction. The depth information is gathered by a Kinect camera from Microsoft, and an accelerated algorithm is proposed to improve the real-time requirements of image recognition. The obstacles information and robot status are gathered and an artificial potential field method based on safe region is planned to control the tracking. Finally, experiments are achieved on a real humanoid robot Nao.",
keywords = "Kinect, artificial potential field, humanoid robot",
author = "Qiubo Zhong and Jie Zhao and Chunya Tong",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; International Conference on Mechatronics and Control, ICMC 2014 ; Conference date: 03-07-2014 Through 05-07-2014",
year = "2015",
month = aug,
day = "31",
doi = "10.1109/ICMC.2014.7231741",
language = "英语",
series = "Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1191--1194",
booktitle = "Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014",
address = "美国",
}