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Appl. Sci. 2016, 6(11), 349; doi:10.3390/app6110349

Moving Object Tracking and Its Application to an Indoor Dual-Robot Patrol

Department of Communications, Navigation and Control Engineering, National Taiwan Ocean University, Keelung 20224, Taiwan
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Author to whom correspondence should be addressed.
Academic Editor: Antonio Fernández-Caballero
Received: 15 August 2016 / Revised: 23 October 2016 / Accepted: 4 November 2016 / Published: 12 November 2016

Abstract

This paper presents an application of image tracking using an omnidirectional wheeled mobile robot (WMR). The objective of this study is to integrate image processing of hue, saturation, and lightness (HSL) for fuzzy color space, and use mean shift tracking for object detection and a Radio Frequency Identification (RFID) reader for confirming destination. Fuzzy control is applied to omnidirectional WMR for indoor patrol and intruder detection. Experimental results show that the proposed control scheme can make the WMRs perform indoor security service. View Full-Text
Keywords: fuzzy color classification; mean shift tracking; fuzzy control; Wi-Fi communication fuzzy color classification; mean shift tracking; fuzzy control; Wi-Fi communication
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Shih, C.-H.; Juang, J.-G. Moving Object Tracking and Its Application to an Indoor Dual-Robot Patrol. Appl. Sci. 2016, 6, 349.

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