1 code implementation • 30 Dec 2022 • Rakesh John Amala Arokia Nathan, Indrajit Kurmi, Oliver Bimber
We demonstrate how efficient autonomous drone swarms can be in detecting and tracking occluded targets in densely forested areas, such as lost people during search and rescue missions.
1 code implementation • 8 Nov 2022 • Francis Seits, Indrajit Kurmi, Oliver Bimber
In this article, we evaluate unsupervised anomaly detection methods in multispectral images obtained with a wavelength-independent synthetic aperture sensing technique, called Airborne Optical Sectioning (AOS).
1 code implementation • 27 Jul 2022 • Rakesh John Amala Arokia Nathan, Indrajit Kurmi, Oliver Bimber
We present Inverse Airborne Optical Sectioning (IAOS) an optical analogy to Inverse Synthetic Aperture Radar (ISAR).
1 code implementation • 28 Apr 2022 • Francis Seits, Indrajit Kurmi, Rakesh John Amala Arokia Nathan, Rudolf Ortner, Oliver Bimber
In this article, we demonstrate a relationship between forest density and field of view (FOV) of applied imaging systems.
1 code implementation • 12 Nov 2021 • Rakesh John Amala Arokia Nathan, Indrajit Kurmi, David C. Schedl, Oliver Bimber
Detecting and tracking moving targets through foliage is difficult, and for many cases even impossible in regular aerial images and videos.
1 code implementation • 18 Jun 2021 • Indrajit Kurmi, David C. Schedl, Oliver Bimber
Fully autonomous drones have been demonstrated to find lost or injured persons under strongly occluding forest canopy.
no code implementations • 15 Dec 2020 • Indrajit Kurmi, David C. Schedl, Oliver Bimber
Airborne optical sectioning, an effective aerial synthetic aperture imaging technique for revealing artifacts occluded by forests, requires precise measurements of drone poses.
3 code implementations • 18 Sep 2020 • David C. Schedl, Indrajit Kurmi, Oliver Bimber
We show that automated person detection under occlusion conditions can be significantly improved by combining multi-perspective images before classification.
no code implementations • 8 May 2020 • Indrajit Kurmi, David C. Schedl, Oliver Bimber
In this article, we describe and validate the first fully automatic parameter optimization for thermal synthetic aperture visualization.
no code implementations • 15 Jun 2019 • Indrajit Kurmi, David C. Schedl, Oliver Bimber
Synthetic apertures find applications in many fields, such as radar, radio telescopes, microscopy, sonar, ultrasound, LiDAR, and optical imaging.
no code implementations • 18 Dec 2015 • Sabyasachi Mukhopadhyay, Sanket Nandan, Indrajit Kurmi
In this paper, we report a hidden Markov model based multiclass classification of cervical cancer tissues.