Searched for: contributor:"Dijk, J. (editor)"
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Pruim, R.H.R. (author), van Opbroek, A. (author), Kruithof, M.C. (author), den Hollander, R.J.M. (author), Baan, J. (author), van den Broek, S.P. (author), van der Stap, N. (author), Dijk, J. (author)
Automatic detection and tracking of maritime targets in imagery can greatly increase situation awareness on naval vessels. Various methods for detection and tracking have been proposed so far, both for reasoning as well as for learning approaches. Learning approaches have the promise to outperform reasoning approaches. They typically detect...
conference paper 2019
document
den Hollander, R.J.M. (author), Adhikari, A. (author), Tolios, I. (author), van Bekkum, M. (author), Bal, A. (author), Hendriks, S. (author), Kruithof, M.C. (author), Gross, D. (author), Jansen, N. (author), Perez, G. (author), Buurman, K. (author), Raaijmakers, S.A. (author)
conference paper 2020
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van den Hoogen, B. (author), Uijens, W. (author), den Hollander, R. (author), Huizinga, W. (author), Dijk, J. (author), Schutte, K. (author)
Automatic detection and tracking of persons and vehicles can greatly increase situational awareness in many military applications. Various methods for detection and tracking have been proposed so far, both for rule-based and learning approaches. With the advent of deep learning, learning approaches generally outperform rule-based approaches. Pre...
conference paper 2020
document
Dijk, J. (author), van den Broek, S.P. (author), den Hollander, R.J.M. (author), Baan, J. (author), ten Hove, J.M. (author), Oorbeek, D. (author)
conference paper 2021
document
Huizinga, W. (author), van Lier, M. (author), Kruithof, M. (author), Dijk, J. (author)
conference paper 2021
Searched for: contributor:"Dijk, J. (editor)"
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