Publikace: On possibilities of human head detection for person flow monitoring system
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Autoři
Doležel, Petr
Štursa, Dominik
Škrabánek, Pavel
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Springer Nature Switzerland AG
Abstrakt
Along with the development of human society, economy, industry and engineering, as well as with growing population in the world's biggest cities, various approaches to person detection have become the subject of great interest. One approach to developing a person detection system is proposed in this paper. A high-angle video sequence is considered as the input to the system. Then, three classification algorithms are considered: support vector machines, pattern recognition neural networks and convolutional neural networks. The results showed very little difference between the classifiers, with the overall accuracy more than 95% over a testing set.
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Klíčová slova
Person flow monitoring, Support vector machines, Pattern recognition neural network, Convolutional neural network, Histograms of oriented gradients, Systém monitorování pohybu osob, metoda podpůrných vektorů, umělá neuronová síť, konvoluční síť, histogramy orientovaných gradientů