Searched for: subject:"Person%5C%2Bdetection"
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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
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Burghouts, G.J. (author), Schutte, K. (author), Bouma, H. (author), den Hollander, R.J.M. (author)
In this paper, a system is presented that can detect 48 human actions in realistic videos, ranging from simple actions such as ‘walk’ to complex actions such as ‘exchange’. We propose a method that gives a major contribution in performance. The reason for this major improvement is related to a different approach on three themes: sample selection...
article 2013