Earticle

초록

영어

In complicated scene, in order to solve the temporal occlusion problem of target tracking, a novel particle filter tracking algorithm based on graphical model is proposed. Graphical model is applied to particle filtering in this method. Firstly, dividing the target into several key regions, and extracting the characteristic value of each region. Then, these regions are applied to construct graphical model. In the process of target tracking by using particle filter method, graphical models can compensate for the lacking information of the occluded region. The state of the occluded part can be inferred by the graphical model. Finally, experimental results have demonstrated that the proposed tracking algorithm is effective, and it can reliably track moving target.

목차

Abstract
 1. Introduction
 2. Particle Filter
 3. Particle Filter Method based on Graph Model
  3.1 Graph Model
  3.2. Update and Prediction of Particles
  3.3. Posterior Density
  3.4. Message Propagation
 4. Algorithm Design
  4.1 Motion Model
  4.2. Algorithm Steps
 5. Experimental Analysis
 6. Conclusion
 References
 Acknowledgment

키워드

저자

• Mingjie Zhang [ School of Information Science and Technology, Northwest University, Xi’an 710127, China, School of Economics and Management, Xi’an University of Post and Telecommunications, Xi’an 710061, China ]
• Baosheng Kang [ School of Information Science and Technology, Northwest University, Xi’an 710127, 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