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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.
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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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Module for real-time object detection in video stream
Antošík, Vojtěch ; Skopal, Tomáš (advisor) ; Kruliš, Martin (referee)
Over the last few years surveillance cameras have become ubiquitous. With so many cameras, analyzing the output manually has become very laborious and inefficient. In recent years, however, a lot of development has been focused on automatic video process- ing using artificial intelligence. There are many deep learning models for object detection offering basic low-level analysis. This thesis builds upon these models and creates an efficient video processing pipeline that serves as a base for further higher-level analyses. We aim to develop sufficiently fast video processing pipeline that will be able to process surveillance camera video streams in real-time while maintaining low CPU utilization. We move as much of the pipeline as possible to the GPU, with the data never leaving the GPU memory before the very end of the pipeline, and therefore leaving most of the CPU computational power for further data analysis. Our testing shows that our implemen- tation achieves performance very close to real-time with 1080p video even on common consumer hardware. 1
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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.
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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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