53188

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

The Neural Network Method for Detection and Recognition of Moving Objects in Trajectory Tracking Tasks according to the Video Stream

ISBN/ISSN: 

978-591995065-3

DOI: 

10.23919/ICINS.2019.8769340

Наименование конференции: 

  • 26th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS-2019)

Наименование источника: 

  • Proceedings of the 26th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS-2019)

Город: 

  • Санкт-Петербург

Издательство: 

  • Institute of Electrical and Electronics Engineers Inc

Год издания: 

2019

Страницы: 

43-46
Аннотация
The neural network method for detecting and recognizing moving objects in the tasks of trajectory tracking according to the data from surveillance cameras is offered. The new method is effective in terms of accuracy and high-speed performance. The adapted architectures of neural networks are offered to identify vehicles, people and situations.

Библиографическая ссылка: 

Амосов О.С., Амосова С.Г. The Neural Network Method for Detection and Recognition of Moving Objects in Trajectory Tracking Tasks according to the Video Stream / Proceedings of the 26th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS-2019). СПб.: Institute of Electrical and Electronics Engineers Inc, 2019. С. 43-46.

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