Human localization in video frames using a growing neural gas algorithm and fuzzy inference
A problem of human body localization in video frames using growing neural gas and feature description based on the Histograms of Oriented Gradients is solved. The original neuro-fuzzy model of growing neural gas for reinforcement learning (GNG-FIS) is used as a basis of the algorithm. A modification...
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| Published in | Kompʹûternaâ optika Vol. 41; no. 1; pp. 46 - 58 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English Russian |
| Published |
2017
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| Online Access | Get full text |
| ISSN | 0134-2452 2412-6179 2412-6179 |
| DOI | 10.18287/2412-6179-2017-41-1-46-58 |
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| Abstract | A problem of human body localization in video frames using growing neural gas and feature description based on the Histograms of Oriented Gradients is solved. The original neuro-fuzzy model of growing neural gas for reinforcement learning (GNG-FIS) is used as a basis of the algorithm. A modification of the GNG-FIS algorithm using a two-pass training with fuzzy remarking of classes and building of a heat map is also proposed. As follows from the experiments, the index of the correct localizations of the developed classifier from 90.5% to 93.2%, depending on the conditions of the scene, that allows the use of the algorithm in real systems of situational video analytics. |
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| AbstractList | A problem of human body localization in video frames using growing neural gas and feature description based on the Histograms of Oriented Gradients is solved. The original neuro-fuzzy model of growing neural gas for reinforcement learning (GNG-FIS) is used as a basis of the algorithm. A modification of the GNG-FIS algorithm using a two-pass training with fuzzy remarking of classes and building of a heat map is also proposed. As follows from the experiments, the index of the correct localizations of the developed classifier from 90.5% to 93.2%, depending on the conditions of the scene, that allows the use of the algorithm in real systems of situational video analytics. |
| Author | Zhiganov, S. Ivanov, Y. Amosov, O. |
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| Title | Human localization in video frames using a growing neural gas algorithm and fuzzy inference |
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