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Brain-inspired multiple-target tracking using Dynamic Neural Fields

Shiva Kamkar1, Hamid Abrishami Moghaddam2, Reza Lashgari3

  • 1Machine Vision and Medical Image Processing (MVMIP) Laboratory, Faculty of Electrical and Computer Engineering, K.N. Toosi University of Technology, Tehran, Iran.

Neural Networks : the Official Journal of the International Neural Network Society
|April 11, 2022
PubMed
Summary

This study introduces a novel multi-object tracking algorithm inspired by human brain processing. The dynamic neural field theory approach significantly improves tracking accuracy, especially for challenging datasets.

Keywords:
Brain-inspired algorithmsDynamic field theoryMultiple-object tracking

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