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Research on the Multi-Target Tracking Algorithm Based on Double FPGA

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Xu-dong Liu

    (Changchun University of Science and Technology
    Economic Management Cadre College of Jilin Province)

Abstract

The accuracy and real-time of the multi-target tracking system have been the main study problems in the targets tracking field. In this research, two slices of FPGA are applied as the main processing chips. Kalman Filter and Particle Filter, the two commonly used filtering algorithms are dynamically integrated to make use of their characteristics in multi-target tracking processing. The real-time of multi-target tracking is realized through the complementation of double FPGA chips.

Suggested Citation

  • Xu-dong Liu, 2013. "Research on the Multi-Target Tracking Algorithm Based on Double FPGA," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 471-477, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38391-5_48
    DOI: 10.1007/978-3-642-38391-5_48
    as

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