@inproceedings{f2713801432147db96273c9cfd76f848,
title = "Object following based on SURF for mobile robots",
abstract = "This paper presents an object following algorithm based on Speed UP Robust Features (SURF). By using features extracted from video sequences using SURF operator, target object can be tracked from the images. Based on the deviation of the tracked object from the image center and the resizing ratio, suitable control actions can be imposed on the wheel motors to move the robot to closely follow the target object. Experimental results have shown that the proposed object following system can achieve the objective of real-time following of the target object.",
keywords = "SURF, image, mobile robot, object following, object tracking",
author = "Huang, {Po Ting} and Li, {Chung Ying} and Hsu, {Chen Chien} and Hong, {Chin Ming}",
year = "2012",
doi = "10.1109/GCCE.2012.6379634",
language = "English",
isbn = "9781467315005",
series = "1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012",
pages = "382--386",
booktitle = "1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012",
note = "1st IEEE Global Conference on Consumer Electronics, GCCE 2012 ; Conference date: 02-10-2012 Through 05-10-2012",
}