Earticle

초록

영어

Moving targets saliency extraction is the key technology in moving target detection, tracking and recognition systems. In order to solve the problems for moving targets detection tasks, such as the background interference, target occlusion and so on, a new moving target detection method by moving saliency calculation is proposed. By the Quaternion Fast Fourier Transform, the proposed method fuses four motion features as optical flows, direction vectors and frame difference. The moving saliency map, as the result, is generated. The experimental result demonstrates that our method has better ability to handle the problems in moving object detection, such as moving information loss in complex scene. The results with better accuracy score(Cgood=0.875，Cfalse=0.028) are given by our method.

목차

Abstract
 1. Introduction
 2. Moving Saliency Calculation Model
  1.1. Multi-Features Fusion
  1.2. Phase Spectrum Calculation
  1.3. Saliency Calculation
 2. Target Detection Process Based on Moving Saliency Calculation
  2.1. Motion Feature Extraction
  2.2. Additive Correcting Fusion
  2.3. Algorithm Flow
 3. Experimental Results and Analysis
  3.1. Results Under Different Scenes
  3.2. Detecting Temporal Static Target
  3.3. Algorithm Performance Quantitative Evaluation
 4. Conclusion
 Acknowledgments
 References

키워드

저자

• Wang Hui-bin [ College of Computer and Information Engineering, Hohai University, Nanjing211100, China ] Corresponding author
• Du Min [ College of Computer and Information Engineering, Hohai University, Nanjing211100, China ]
• Chen Zhe [ College of Computer and Information Engineering, Hohai University, Nanjing211100, China ]
• Lu Miao [ College of Computer and Information Engineering, Hohai University, Nanjing211100, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605