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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.16 No.4
- 발행연도
- 2016.12
- 수록면
- 246 - 253 (8page)
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초록· 키워드
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Infrared (IR) imaging has been researched for various applications such as surveillance. IR radiation has the capability to detect thermal characteristics of objects under low-light conditions. However, automatic segmentation for finding the object of interest would be challenging since the IR detector often provides the low spatial and contrast resolution image without color and texture information. Another hindrance is that the image can be degraded by noise and clutters. This paper proposes multi-level segmentation for extracting regions of interest (ROIs) and objects of interest (OOIs) in the IR scene. Each level of the multi-level segmentation is composed of a k-means clustering algorithm, an expectation-maximization (EM) algorithm, and a decision process. The k-means clustering initializes the parameters of the Gaussian mixture model (GMM), and the EM algorithm estimates those parameters iteratively. During the multi-level segmentation, the area extracted at one level becomes the input to the next level segmentation. Thus, the segmentation is consecutively performed narrowing the area to be processed. The foreground objects are individually extracted from the final ROI windows. In the experiments, the effectiveness of the proposed method is demonstrated using several IR images, in which human subjects are captured at a long distance. The average probability of error is shown to be lower than that obtained from other conventional methods such as Gonzalez, Otsu, k-means, and EM methods.
목차
Abstract
1. Introduction
2. Multilevel Segmentation for ROI Extraction
3. Experimental Results
4. Conclusion
References
참고문헌 (20)
참고문헌 신청
[학술지(정기간행물)] - S. Erturk / 2013 / Region of Interest Extraction in Infrared Images Using One-Bit Transform / IEEE Signal Processing Letters 20 (10) : 952 ~ 955
[기타자료] - D. K. Shin / / Extraction of infrared target based on Gaussian mixture model / IEEK Transactions
[학술지(정기간행물)] - Chan Woo Park / 2011 / Extracting targets from regions-of-interest in infrared images using a 2-D histogram / Optical Engineering 50 (2) : 027003 ~
[학술대회논문] - T. J. Ramirez-Rozo / 2012 / Infrared thermal image segmentation using expectation-maximization-based clustering / Proceedings of 2012 XVII Symposium of Image, Signal Processing, and Artificial Vision : 1 ~ 4
[학술대회논문] - M. Teutsch / 2014 / Low resolution person detection with a moving thermal infrared camera by hot spot classification / Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops : 209 ~ 216
[기타자료] - D. K. Shin / / Extraction of infrared target based on Gaussian mixture model / IEEK Transactions
[학술지(정기간행물)] - Chan Woo Park / 2011 / Extracting targets from regions-of-interest in infrared images using a 2-D histogram / Optical Engineering 50 (2) : 027003 ~
[학술대회논문] - T. J. Ramirez-Rozo / 2012 / Infrared thermal image segmentation using expectation-maximization-based clustering / Proceedings of 2012 XVII Symposium of Image, Signal Processing, and Artificial Vision : 1 ~ 4
[학술대회논문] - M. Teutsch / 2014 / Low resolution person detection with a moving thermal infrared camera by hot spot classification / Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops : 209 ~ 216
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