@inproceedings{bed47dca2bd8441cae2fe7679deece11,
title = "Novel dynamic template matching of visual servoing for tethered space robot",
abstract = "Aiming at the problems resulted from small template matching with large scene, such as low robust and long time-consumption, we propose a novel template matching algorithm. First, we define a similarity method called Normalized SAD, which is then followed by an improved matching criterion using grey and gradient values arranged into hollow annulus structure. Hollow structure can help decrease the accumulative deviation caused by the changes of background and the compound values make it restrain the impact of noises and illumination. Furthermore, we design a least square integrated predictor and updating strategy of dynamic template for robust tracking in each frame. Finally, the results of ground experiments indicate our algorithm can realize real-time recognition in complex circumstance.",
keywords = "Object recognition, Target tracking, Template matching, Tethered Space Robot",
author = "Jia Cai and Panfeng Huang and Dongke Wang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 4th IEEE International Conference on Information Science and Technology, ICIST 2014 ; Conference date: 26-04-2014 Through 28-04-2014",
year = "2014",
month = oct,
day = "10",
doi = "10.1109/ICIST.2014.6920409",
language = "英语",
series = "ICIST 2014 - Proceedings of 2014 4th IEEE International Conference on Information Science and Technology",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "389--392",
editor = "Guoqing Xu and Yu Qiao and Xinyu Wu",
booktitle = "ICIST 2014 - Proceedings of 2014 4th IEEE International Conference on Information Science and Technology",
}