Earticle

초록

영어

In distributed sensor networks, track association and track fusion become difficult due to the existence of various uncertainties in multiple target tracking (MTT). In an actual tracking system, state estimates of a local track are usually transmitted from local nodes to the global node by message, and each message generally contains single state estimate. Based on this fact, one can define two state estimates of a local track in continuous times as a tracklet. Then, local track-global track association can be divided into tracklet-global track (T2GT) association in real time. Hence, a T2GT association method based on Hough transform (HT-T2GT) is proposed. By Hough transform, all the tracklets in the same interval can be mapped into a set of points in Hough space, and the track association problem can be transformed as one of point clustering in Hough space. The maximum entropy fuzzy c-mean (ME-FCM) clustering method is used to realize T2GT association. In addition, a T2GT fusion method based on the support degree function (SDF-T2GT) is developed for track fusion. The experimental results illustrate that the proposed methods can respectively realize T2GT association and track fusion in the situations with multiple local nodes, reduce the average time of updating global tracks and satisfy the requirement of real-time processing in the global node. It achieves higher association processing rate than other two track association methods.

목차

Abstract
 1. Introduction
 2. Definition of tTracklet and its Mapping
  2.1. Definition of Tracklets
  2.2. Tracklet Mapping by Using Hough Transform
 3. HT-T2GT Association Method
  3.1. Maximum Entropy fuzzy Clustering Based on Tracklets
  3.2. Difference Factor Analysis
 4. SDF-T2GT Fusion Method
 5. Experimental Results and Analysis
  5.1. Simulational Experiment
  5.2. Real-Data Experiment
 6. Conclusion
 Acknowledgments
 References

키워드

저자

• Fan En [ Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, China, ATR Key Lab, Shenzhen University, Shenzhen 518060, China ] Corresponding author
• Shen Shi-gen [ ATR Key Lab, Shenzhen University, Shenzhen 518060, China, College of Mathematics Physics and Information Engineering, Jiaxing University, Jiaxing 314000, China ]
• Hu Ke-li [ ATR Key Lab, Shenzhen University, Shenzhen 518060, China ]
• Yuan Chang-hong [ Air Defence Force Academy, Zhengzhou 450052, China ]
• Wang Pin [ School of Mechanical and Electrical Engineering, Shenzhen Polytechnic, Shenzhen 518055, 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