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Benchmarking pig detection and tracking under diverse and challenging conditions
Jonathan Henrich, Christian Post, Maximilian Zilke +6
To ensure animal welfare and effective management in pig farming, monitoring individual behavior is a crucial prerequisite. While monitoring tasks have traditionally been carried o…
Towards general deep-learning-based tree instance segmentation models
Jonathan Henrich, Jan van Delden
The segmentation of individual trees from forest point clouds is a crucial task for downstream analyses such as carbon sequestration estimation. Recently, deep-learning-based metho…
Computer Vision for Primate Behavior Analysis in the Wild
Richard Vogg, Timo Lüddecke, Jonathan Henrich +14
Advances in computer vision as well as increasingly widespread video-based behavioral monitoring have great potential for transforming how we study animal cognition and behavior. H…
TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds
Jonathan Henrich, Jan van Delden, Dominik Seidel +2
Laser-scanned point clouds of forests make it possible to extract valuable information for forest management. To consider single trees, a forest point cloud needs to be segmented i…