Object following based on SURF for mobile robots

Po Ting Huang, Chung Ying Li, Chen Chien Hsu, Chin Ming Hong

研究成果: 書貢獻/報告類型會議貢獻

5 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
主出版物標題1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012
頁面382-386
頁數5
DOIs
出版狀態已發佈 - 2012 十二月 1
事件1st IEEE Global Conference on Consumer Electronics, GCCE 2012 - Tokyo, 日本
持續時間: 2012 十月 22012 十月 5

出版系列

名字1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012

其他

其他1st IEEE Global Conference on Consumer Electronics, GCCE 2012
國家日本
城市Tokyo
期間12/10/212/10/5

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • 引用此

    Huang, P. T., Li, C. Y., Hsu, C. C., & Hong, C. M. (2012). Object following based on SURF for mobile robots. 於 1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012 (頁 382-386). [6379634] (1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012). https://doi.org/10.1109/GCCE.2012.6379634