Отрывок: Therefore more rele- vant contour descriptors are used. Object matching is performed by minimizing the cri- terion function: ( ) { } 1 ( ) min ( ) ( ) , : 1, , 1, , DN crit ob j m M i D F j D i m D i M m m N j N ∈ =   = − −    = = = ∑ (9) where Dob – object contour descriptor found in the previous frame, , 0,jD j N= is the descriptor of j object candidate, N – number of objects in the current frame, m – is the value of circular shift of a descriptor. Image ro...
Название : Aerial vehicles detection and recognition for UAV vision system
Авторы/Редакторы : Muraviev, V.S.
Smirnov, S.A.
Strotov, V.V.
Ключевые слова : aerial vehicles
object detection
contour descriptor
Дата публикации : Авг-2017
Издательство : Самарский университет
Библиографическое описание : Muraviev VS, Smirnov SA, Strotov VV. Aerial vehicles detection and recognition for UAV vision systems. Computer Optics 2017; 41(4): 545-551.
Серия/номер : 41;4
Аннотация : This article focuses on aerial vehicle detection and recognition by a wide field of view monocular vision system that can be installed on UAVs (unmanned aerial vehicles). The objects are mostly observed on the background of clouds under regular daylight conditions. The main idea is to create a multi-step approach based on a preliminary detection, regions of interest (ROI) selection, contour segmentation, object matching and localization. The described algorithm is able to detect small targets, but unlike many other approaches is designed to work with large-scale objects as well. The suggested algorithm is also intended to recognize and track the aerial vehicles of specific kind using a set of reference objects defined by their 3D models. For that purpose a computationally efficient contour descriptor for the models and the test objects is calculated. An experimental research on real video sequences is performed. The video database contains different types of aerial vehicles: airplanes, helicopters, and UAVs. The proposed approach shows good accuracy in all case studies and can be implemented in onboard vision systems.
URI (Унифицированный идентификатор ресурса) : http://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Aerial-vehicles-detection-and-recognition-for-UAV-vision-system-65757
Другие идентификаторы : Dspace\SGAU\20171020\65757
Располагается в коллекциях: Журнал "Компьютерная оптика"

Файлы этого ресурса:
Файл Описание Размер Формат  
410412.pdf655.79 kBAdobe PDFПросмотреть/Открыть

Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.