2024
DOI: 10.1049/ipr2.13079
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Probabilistic 3D motion model for object tracking in aerial applications

Seyed Hojat Mirtajadini,
MohammadAli Amiri Atashgah,
Mohammad Shahbazi

Abstract: Visual object tracking, crucial in aerial applications such as surveillance, cinematography, and chasing, faces challenges despite AI advancements. Current solutions lack full reliability, leading to common tracking failures in the presence of fast motions or long‐term occlusions of the subject. To tackle this issue, a 3D motion model is proposed that employs camera/vehicle states to locate a subject in the inertial coordinates. Next, a probability distribution is generated over future trajectories and they ar… Show more

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