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http://dx.doi.org/10.6109/jicce.2015.13.1.042

Laser Spot Detection Using Robust Dictionary Construction and Update  

Wang, Zhihua (School of Information and Communication Engineering, Dalian University of Technology)
Piao, Yongri (School of Information and Communication Engineering, Dalian University of Technology)
Jin, Minglu (School of Information and Communication Engineering, Dalian University of Technology)
Publication Information
Journal of information and communication convergence engineering / v.13, no.1, 2015 , pp. 42-49 More about this Journal
Abstract
In laser pointer interaction systems, laser spot detection is one of the most important technologies, and most of the challenges in this area are related to the varying backgrounds, and the real-time performance of the interaction system. In this paper, we present a robust dictionary construction and update algorithm based on a sparse model of background subtraction. In order to control dynamic backgrounds, first, we determine whether there is a change in the backgrounds; if this is true, the new background can be directly added to the dictionary configurations; otherwise, we run an online cumulative average on the backgrounds to update the dictionary. The proposed dictionary construction and update algorithm for laser spot detection, is robust to the varying backgrounds and noises, and can be implemented in real time. A large number of experimental results have confirmed the superior performance of the proposed method in terms of the detection error and real-time implementation.
Keywords
Background subtraction; Laser spot detection; Dictionary construction and update; Compressive sensing;
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