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Особенности применения алгоритма обнаружения, основанного на методе вычитания фона, в сканирующей оптико-электронной системе наблюдения
Михнёнок, Е. И., Хижняк, А. В.
Features of the Application of the Detection Algorithm Based on the Background Subtraction Method
Detection and recognition of moving biological objects for autonomous vehicles using intelligent edge computing/LoRaWAN mesh system
Artem V., Al-Sveiti M., Elgendy I.A., Kovtunenko A.S., Muthanna A.
Mesh network. Also, a novel approach for the detection of biological objects activity on the roadside
Wide-field subsecond temporal resolution optical monitoring systems for the detection and study of cosmic hazards
Beskin G., Karpov S., Plokhotnichenko V., Bondar S., Perkov A., Ivanov E., Katkova E., Sasyuk V., Shearer E.
in which all objectives observe one field with a rapidly moving celestial object detected by monitoring
Wide-field subsecond temporal resolution optical monitoring systems for the detection and study of cosmic hazards
Beskin G., Karpov S., Plokhotnichenko V., Bondar S., Perkov A., Ivanov E., Katkova E., Sasyuk V., Shearer E.
in which all objectives observe one field with a rapidly moving celestial object detected by monitoring
Обнаружение подвижного объекта с использованием порядковых статистик
Рудько, Игорь Михайлович
Detection of moving object using order statistics
Формирование эталонов в устройстве распознавания движущихся наземных объектов
Сивцевич, В. В., Виноградов, А. Е., Siutsevich, V. V., Vinogradov, A. E.
of ground moving objects with seismic devices it's nesessary to form the model of seismic signals
Декорреляция сигнала от земной поверхности при обнаружении движущихся объектов в высокоинформативном радиолокаторе с синтезированием апертуры
Радионович, В. В.
Decorrelation of a signal from the earth's surface during detection of moving objects in a highly
Detection of flying objects in images using the YOLOv4-CSP convolutional neural network model
Nebaba, Stepan G., Markov, Nikolay G.
of detecting objects moving in airspace is investigated. Images of flying objects of two classes were used
Improved real-time object detection algorithm
Tang Yi, Zhao Di
In this paper, the study explores a real-time object detection algorithm that strikes a balance
Weakly supervised object detection method
Tang Yi, Zhao Di
detection (WSOD) and proposes a new network to enhance feature representation for object detection.

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