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

Xu-dong Liu ()
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Xu-dong Liu: Changchun University of Science and Technology

Chapter Chapter 48 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 471-477 from Springer

Abstract: 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.

Keywords: FPGA; Kalman filter; Multi-target tracking; Particle filter (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38391-5_48

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DOI: 10.1007/978-3-642-38391-5_48

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