52 citations · 90 across the 13 of their papers we have counts for
13 papers
Oh Deer, How Should I Handle This? Seasonal Priors for Selective Wildlife Annotation and Classification
Hugo Markoff, Christoph Praschl, Anton Hjalte Jørgensen +5
Fine-grained wildlife classification in aerial imagery is limited not only by model performance, but also by unreliable labels: animals occupy few pixels, key visual cues vary seas…
When One Modality Is Not Enough: Multimodal Sex and Life-Stage Classification of Red Deer from Aerial RGB-Thermal Video
Hugo Markoff, Christoph Praschl, Ivan Ludoški +3
Aerial drone surveys increasingly support wildlife population estimation, yet a useful census is more than a count: population dynamics are defined by species composition, sex rati…
Detection and Measurement of Hailstones with Multimodal Large Language Models
Moritz Alker, David C. Schedl, Andreas Stöckl
This study examines the use of social media and news images to detect and measure hailstones, utilizing pre-trained multimodal large language models. The dataset for this study com…
Advancing Wildlife Monitoring: Drone-Based Sampling for Roe Deer Density Estimation
Stephanie Wohlfahrt, Christoph Praschl, Horst Leitner +5
We use unmanned aerial drones to estimate wildlife density in southeastern Austria and compare these estimates to camera trap data. Traditional methods like capture-recapture, dist…
The Way Up: A Dataset for Hold Usage Detection in Sport Climbing
Anna Maschek, David C. Schedl
Detecting an athlete's position on a route and identifying hold usage are crucial in various climbing-related applications. However, no climbing dataset with detailed hold usage an…
Touch Sensing on Semi-Elastic Textiles with Border-Based Sensors
Samuel Zühlke, Andreas Stöckl, David C. Schedl
This study presents a novel approach for touch sensing using semi-elastic textile surfaces that does not require the placement of additional sensors in the sensing area, instead re…
Through-Foliage Tracking with Airborne Optical Sectioning
Rakesh John Amala Arokia Nathan, Indrajit Kurmi, David C. Schedl +1
Detecting and tracking moving targets through foliage is difficult, and for many cases even impossible in regular aerial images and videos. We present an initial light-weight and d…
Combined Person Classification with Airborne Optical Sectioning
Indrajit Kurmi, David C. Schedl, Oliver Bimber
Fully autonomous drones have been demonstrated to find lost or injured persons under strongly occluding forest canopy. Airborne Optical Sectioning (AOS), a novel synthetic aperture…
An Autonomous Drone for Search and Rescue in Forests using Airborne Optical Sectioning
D. C. Schedl, I. Kurmi, O. Bimber
Drones will play an essential role in human-machine teaming in future search and rescue (SAR) missions. We present a first prototype that finds people fully autonomously in densely…
Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization
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. In…
Search and Rescue with Airborne Optical Sectioning
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. Here, we employed imag…
Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization
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. It replaces previous manual exploration of…
A Statistical View on Synthetic Aperture Imaging for Occlusion Removal
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. They approximate the signal of a s…