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cs.CV2026
WildDepth-v2: A Synchronized RGB--LiDAR--Radar Dataset and Benchmark for Metric Depth, Motion, and Tracking of Wildlife
Muhammad Aamir, Sangyun Shin, Naoya Muramatsu +4
Measuring animal distance and motion in metric units underpins abundance estimation, morphometrics, and movement ecology, yet monocular video lacks metric scale and wildlife datase…
cs.CV2026
A non-invasive video-based method for individual identification of wildlife using gait dynamics
Muhammad Aamir, Matthew Wijers, Sangyun Shin +2
Gait is a distinctive behavioral characteristic that enables non-invasive individual identification without requiring physical interaction with an animal. While gait-based analysis…
cs.CV2026
WildDepth: A Multimodal Dataset for 3D Wildlife Perception and Depth Estimation
Muhammad Aamir, Naoya Muramatsu, Sangyun Shin +6
Depth estimation and 3D reconstruction have been extensively studied as core topics in computer vision. Starting from rigid objects with relatively simple geometric shapes, such as…