output
20162024
most citedGraph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images

24 citations

5 papers

cs.CV2024★ 7 cited

Improving Object Detection for Time-Lapse Imagery Using Temporal Features in Wildlife Monitoring

Marcus Jenkins, Kirsty A. Franklin, Malcolm A. C. Nicoll +4

Monitoring animal populations is crucial for assessing the health of ecosystems. Traditional methods, which require extensive fieldwork, are increasingly being supplemented by time…

cs.CV2024★ 8 cited

Deep learning-based ecological analysis of camera trap images is impacted by training data quality and quantity

Peggy A. Bevan, Omiros Pantazis, Holly Pringle +10

Large image collections generated from camera traps offer valuable insights into species richness, occupancy, and activity patterns, significantly aiding biodiversity monitoring. H…

cs.AI2024

Test Case Features as Hyper-heuristics for Inductive Programming

Edward McDaid, Sarah McDaid

Instruction subsets are heuristics that can reduce the size of the inductive programming search space by tens of orders of magnitude. Comprising many overlapping subsets of differe…

physics.geo-ph2020★ 2 cited

Emergent risks in the Mt. Everest region in the time of anthropogenic climate change

Kimberley R. Miner, Paul A. Mayewski, Saraju K. Baidya +16

In April and May 2019, as a part of the National Geographic and Roxel Perpetual Planet Everest Expedition, the most interdisciplinary scientific ever was launched. This research id…

math.AP2016★ 24 cited

Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images

Luca Calatroni, Yves van Gennip, Carola-Bibiane Schönlieb +2

We consider the problem of scale detection in images where a region of interest is present together with a measurement tool (e.g. a ruler). For the segmentation part, we focus on t…