JICCE (한국정보통신학회)
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| 한글제목(Korean Title) |
Laser Spot Detection Using Robust Dictionary Construction and Update |
| 영문제목(English Title) |
Laser Spot Detection Using Robust Dictionary Construction and Update |
| 저자(Author) |
Zhihua Wang
Yongri Piao
Minglu Jin
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| 원문수록처(Citation) |
VOL 13 NO. 01 PP. 0042 ~ 0049 (2015. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In laser pointer interaction systems, lase 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 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 lase spot detection, is robust to the varying backgrounds and noised, 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.
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| 키워드(Keyword) |
Background subtraction
Laser spot detection
Dictionary construction and update
Compressive sensing
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| 파일첨부 |
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