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논문검색

Moving Targets Detection Based on Moving Saliency Calculation

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

저자정보

  • Wang Hui-bin College of Computer and Information Engineering, Hohai University, Nanjing211100, China
  • 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

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