원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.10 No.12
2015.12
pp.183-194
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In the basketball segmentation in long shots, Gauss filter is adopted to smooth noise in the image firstly. Secondly, the background is separated by the difference of inter-frame and the connected regions are labeled. Thirdly, a strategy is designed to identify basketball by the characteristic of basketball. Finally, the edge deviation is revised and the optimal result is obtained using improved Snakes.
목차
Abstract
1. Introduction
2. Detection of Varying Regions Based on Inter-Frame Difference
2.1. Threshold Segment of Inter-Frame Difference Image
2.2. Clustering of Connected Regions
3. Basketball Recognition
3.1. Basketball Recognition Strategy
3.2. Extraction of Candidate Basketball Region Features
4. Correction of Basketball Region Edges
5. Identification of Basketball
5.1. Improved Active Contour Model
5.2. Fetch of Regional Optimal Solution
6. Experimental Results
7. Conclusion
References
1. Introduction
2. Detection of Varying Regions Based on Inter-Frame Difference
2.1. Threshold Segment of Inter-Frame Difference Image
2.2. Clustering of Connected Regions
3. Basketball Recognition
3.1. Basketball Recognition Strategy
3.2. Extraction of Candidate Basketball Region Features
4. Correction of Basketball Region Edges
5. Identification of Basketball
5.1. Improved Active Contour Model
5.2. Fetch of Regional Optimal Solution
6. Experimental Results
7. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보