Drones tracking based on robust Cubature Kalman-TBD-Multi-Bernoulli filter

Barbary, Mohamed; ElAzeem, Mohamed H. Abd

doi:10.1016/j.isatra.2020.12.042

Cited by 12 publications

(1 citation statement)

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“…• Drones tracking based on robust Cubature Kalman-TBD-Multi-Bernoulli filter [37] -This paper explains how the variation of Kalman Filter can improve tracking of drones based on drones videos. This is a track before detect (TBD) approach which is useful for tracking small drones in videos, however it does not fully focus on the detection part.…”

Section: • Classification Of Birds and Uavs Based On Radar Polarimetr...mentioning

confidence: 99%

Bird/Drone Detection and Classification using Classical and Deep Learning Methods

Zitar

Kassab

Fallah

et al. 2023

Preprint

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Machine learning techniques have always been a strong candidate for solving complex recognition problems. Drone/Bird detection and classification is one of the most challenging tasks in recent years. Both drones and birds come in different sizes, velocities, and behaviors. The lack of bird images and videos is tackled in this work. Deep learning, classical machine learning techniques such as Support Vector Machines (SVM) and Random Forest (RF) in addition to shallow neural network (NN) learning methods are used. Combined open-source data sets and labeled bird images data sets are used in training and testing for detection and classification. In particular, several deep learning methods are used in the detection of RGB and IR drone images. They were compared with the new SSD-AdderNet which showed the best results in the detection of IR images while exhibiting the least complexity. The SVM proved to be the best in classification.

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Section: • Classification Of Birds and Uavs Based On Radar Polarimetr...mentioning

confidence: 99%