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영상 분할과 SIFT를 이용한 다중 객체 검출Multi-Object Detection Using Image Segmentation and SIFT
- Other Titles
- Multi-Object Detection Using Image Segmentation and SIFT
- Issue Date
- Nov-2006
- Publisher
- 대한전자공학회
- Citation
- 대한전자공학회 학술대회 2006년도 추계종합학술대회 논문집(II), v.29, no.2, pp.957 - 960
- Indexed
- OTHER
- Journal Title
- 대한전자공학회 학술대회 2006년도 추계종합학술대회 논문집(II)
- Volume
- 29
- Number
- 2
- Start Page
- 957
- End Page
- 960
- Abstract
- In this paper, a novel method for detecting multi-object using image segmentation and SIFT descriptor. Our research consists of four steps. In the first step, an image is segmented into several regions by JSEG algorithm. In the second step, for segmented regions, dominant colors and the corresponding color histogram are constructed. In the third step, by using dominant color and color histogram, candidate regions where objects may exist are identified. In the final step, real object regions are detected from candidate regions by SIFT matching. As experimental results, the proposed method shows the improved performance over exist ones.
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Collections - COLLEGE OF COMPUTING > SCHOOL OF COMPUTER SCIENCE > 1. Journal Articles
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