@inproceedings{bee5ca08859e4667abc7666a888b92a3,
title = "Human tracking based on vision and laser sensor",
abstract = "In order to solve the problem of human tracking, we present a real-time person tracking system for a mobile robot based on the fusion of monocular camera and laser sensor. Firstly, the mark model constructed to detect the target by the combination of color and geometric features is developed, and the robot obtains the coordinates of the target by using the principle of monocular distance measurement. Then, a method is proposed to detect the human leg by using the method of geometric feature detection based on self-adapting threshold segmentation of laser information. Finally, the weighted fusion strategy is used to fuse the results of laser and monocular vision to determine the target person, and a Kalman filter is used to obtain the stable trajectory. Experimental results performed in indoor environments show the effectiveness and robustness of the developed approach.",
keywords = "Fusion Strategy, Human Tracking, Laser Sensor, Mobile Robot, Monocular Camera",
author = "Guodong Yan and Jiadong Shi and Zhiyuan Yu and Jianzhong Wang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Unmanned Systems, ICUS 2017 ; Conference date: 27-10-2017 Through 29-10-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICUS.2017.8278336",
language = "English",
series = "Proceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "177--181",
editor = "Xin Xu",
booktitle = "Proceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017",
address = "United States",
}