National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Anti-Drone Perimeter Protection
Janík, Roman ; Dvořák, Michal (referee) ; Drahanský, Martin (advisor)
Developement of drone technology brings opportunities for many fields of human activity, but simultaneously brings security threats. A need to effectively face these threats arises. In this work is described the problematics and state-of-the-art methods for object detection in a video captured by moving camera. A system for detecting and locating a drone or a flock of drones has been proposed. Algorithm for detection is based on convolutional neural network, specifically on SSD algorithm. The convolutional neural network was trained on self-made dataset. The system was implemented using OpenCV library with possible algorithm acceleration on GPU using OpenCL. Created solution was tested on video.
Anti-Drone Perimeter Protection
Janík, Roman ; Dvořák, Michal (referee) ; Drahanský, Martin (advisor)
Developement of drone technology brings opportunities for many fields of human activity, but simultaneously brings security threats. A need to effectively face these threats arises. In this work, problematics and state-of-the-art methods for object detection in a video captured by moving camera. Further I proposed a system for a drone or a flock of drones detection and localization. Algorithm for detection is based on convolutional neural network, specifically on SSD algorithm. I implemented the system with library OpenCV with possible acceleration of algorithm with GPU via OpenCL. I tested the created solution on both a video and a video camera output.
Anti-Drone Perimeter Protection
Janík, Roman ; Dvořák, Michal (referee) ; Drahanský, Martin (advisor)
Developement of drone technology brings opportunities for many fields of human activity, but simultaneously brings security threats. A need to effectively face these threats arises. In this work is described the problematics and state-of-the-art methods for object detection in a video captured by moving camera. A system for detecting and locating a drone or a flock of drones has been proposed. Algorithm for detection is based on convolutional neural network, specifically on SSD algorithm. The convolutional neural network was trained on self-made dataset. The system was implemented using OpenCV library with possible algorithm acceleration on GPU using OpenCL. Created solution was tested on video.
Anti-Drone Perimeter Protection
Janík, Roman ; Dvořák, Michal (referee) ; Drahanský, Martin (advisor)
Developement of drone technology brings opportunities for many fields of human activity, but simultaneously brings security threats. A need to effectively face these threats arises. In this work, problematics and state-of-the-art methods for object detection in a video captured by moving camera. Further I proposed a system for a drone or a flock of drones detection and localization. Algorithm for detection is based on convolutional neural network, specifically on SSD algorithm. I implemented the system with library OpenCV with possible acceleration of algorithm with GPU via OpenCL. I tested the created solution on both a video and a video camera output.

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