Algorithms for Flying Object Detection

• Published in: 2018 Progress in Electromagnetics Research Symposium (PIERS-Toyama) pp. 782 - 786
• Main Authors: Janousek, J., Novotny, J., Marcon, P., Siruckova, A., Kadlec, R.
• Format: Conference Proceeding
• Language: English
• Published: The Institute of Electronics, Information and Communication Engineers (IEICE) 01-08-2018
• Subjects: Detectors; Electromagnetics; Feature extraction; Image edge detection; Image segmentation; Object detection
• ISSN: 2694-5053
• DOI: 10.23919/PIERS.2018.8598196

The object detection and recognition are used for location, identification, and categorization of objects in the images and video. We use video record form flying object in our paper. Video record was transformed into individual images that were preprocessed. In the next step, algorithm for capturing a flying object was applied. Afterwards, algorithm for an object recognition was used. This algorithm is based on Oriented FAST (Features from Accelerated Segment Test) and rotated BRIEF (Binary Robust Independent Elementary Features) methods. The procedures were implemented on a small and affordable computer Raspberry PI 3 model B.