Institutul de Matematică şi Informatică "Vladimir Andrunachievici"
Universitatea de Stat din MoldovaRO EN
Vehicle Detection from Unmanned Aerial Images with Deep Mask R-CNN
Authors: Rıdvan Yayla, Emir Albayrak, Uğur Yüzgeç
Keywords: Convolutional neural networks, Deep learning, Mask R-CNN, Vehicle detection.
– 0.76 Mb
Keywords: Convolutional neural networks, Deep learning, Mask R-CNN, Vehicle detection.
Abstract
In this paper, a classification approach which is applied to Mask Region-based Convolutional Neural Network as deeper is proposed for vehicle detection on the images from UAV instead of the familiar methods. The different types of unmanned aerial vehicles are widely used for a lot of areas such as agricultural spraying, advertisement shooting, fire extinguishing, transportation and surveillance, exploration, destruction for the military. In recent years, deep learning techniques are progressively developed for object detection. Segmentation algorithms based on CNN architecture are especially widely used for extracting meaningful parts of an image. Additionally, Mask R-CNN based on CNN architecture rapidly detects the object with high-accuracy on an image. This study shows that the high-accuracy results are obtained when the Mask R-CNN is applied as deeper in vehicle detection on the images taken by UAV.Computer Engineering Department
Bilecik Şeyh Edebali University
Pelitözü Dist. Fatih Sultan Mehmet Boulevard
Gülümbe Campus No:27 11230 BİLECİK / TURKEY
E-mail: , ,
Bilecik Şeyh Edebali University
Pelitözü Dist. Fatih Sultan Mehmet Boulevard
Gülümbe Campus No:27 11230 BİLECİK / TURKEY
E-mail: , ,
DOI
https://doi.org/10.56415/csjm.v30.09Fulltext
– 0.76 Mb
Contents
- On Elimination of Erasing Rules from E0S Grammars
- Vehicle Detection from Unmanned Aerial Images with Deep Mask R-CNN
- Identities and generalized derivatives of quasigroups
- Degree of favoring in apportionments
- Quadruplet loss and SqueezeNets for Covid-19 detection from Chest-X ray
- The Domination Parameters on a kind of the regular honeycomb structure
- Split logarithm problem and a candidate for a post-quantum signature scheme
- A Comparative study on classification performance of Emphysema with transfer learning methods in deep convolutional neural networks
- Svetlana Cojocaru - 70th anniversary
