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Sensors 2014, 14(11), 20112-20133; doi:10.3390/s141120112

Laser Spot Tracking Based on Modified Circular Hough Transform and Motion Pattern Analysis

Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, R. Boškovića 32, Split 21000, Croatia
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Received: 4 August 2014 / Revised: 14 October 2014 / Accepted: 17 October 2014 / Published: 27 October 2014
(This article belongs to the Special Issue HCI In Smart Environments)
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Abstract

Laser pointers are one of the most widely used interactive and pointing devices in different human-computer interaction systems. Existing approaches to vision-based laser spot tracking are designed for controlled indoor environments with the main assumption that the laser spot is very bright, if not the brightest, spot in images. In this work, we are interested in developing a method for an outdoor, open-space environment, which could be implemented on embedded devices with limited computational resources. Under these circumstances, none of the assumptions of existing methods for laser spot tracking can be applied, yet a novel and fast method with robust performance is required. Throughout the paper, we will propose and evaluate an efficient method based on modified circular Hough transform and Lucas–Kanade motion analysis. Encouraging results on a representative dataset demonstrate the potential of our method in an uncontrolled outdoor environment, while achieving maximal accuracy indoors. Our dataset and ground truth data are made publicly available for further development. View Full-Text
Keywords: laser pointer detection; Hough transform; tracking laser pointer detection; Hough transform; tracking
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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MDPI and ACS Style

Krstinić, D.; Skelin, A.K.; Milatić, I. Laser Spot Tracking Based on Modified Circular Hough Transform and Motion Pattern Analysis. Sensors 2014, 14, 20112-20133.

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