Title :
Research on real-time location-tracking of underground mine locomotive based on wireless mobile video
Author :
Yu Guofang ; Kou Liqiang ; Zhang Yujie
Author_Institution :
Coll. of Inf. & Electron. Eng., China Univ. of Min. & Technol., Xuzhou, China
Abstract :
By the image processing and pattern recognition technology, the average background method and the Hausdorff distance method was used to video frames captured by the wireless mobile camera installed on the head of underground mine locomotive, mobile target was tracked in real-time to achieve the locomotive forward, backward and stop, judge its running track and location, calculate the recent short-range average speed of the locomotive, which provide timely and accurate reference for the production scheduling of coal mine locomotive, it is important to strengthen the mine safety and to improve the transport efficiency and enterprise information.
Keywords :
locomotives; mining equipment; mobile radio; production engineering computing; scheduling; target tracking; video signal processing; Hausdorff distance method; average background method; coal mine locomotive; image processing; mine safety; mobile target tracking; pattern recognition technology; production scheduling; real-time location-tracking; underground mine locomotive; video frames capturing; wireless mobile camera; wireless mobile video; Educational institutions; Mobile communication; Monitoring; Target tracking; Visualization; Wireless communication; Wireless sensor networks; image processing and pattern recognition; location-tracking; underground mine locomotive; wireless mobile vide;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025543