3 papers
cs.CV2026
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…
cs.CV2026
Oh Deer, How Should I Handle This? Seasonal Priors for Selective Wildlife Annotation and Classification
Hugo Markoff, Christoph Praschl, Anton Hjalte Jørgensen +7
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…
cs.CV2025
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…