We present a 3D multi-object tracking method for wildlife camera trapping using RGB-D cameras. We infer precise three-dimensional pose estimations of individual ...
We present a 3D multi-object tracking method for wildlife camera trapping using RGB-D cameras. We infer precise three-dimensional pose estimations of individual ...
Deep learning in multiple animal tracking: A survey · Speed Optimization Strategy for Connected Vehicles on Ecological Roads · A reliable unmanned aerial vehicle ...
Wildlife 3D multi-object tracking. https://doi.org/10.1016/j.ecoinf.2022.101790 ·. Journal: Ecological Informatics, 2022, p. 101790. Publisher: Elsevier BV.
Nov 11, 2024 · Here we introduce BuckTales, the first large-scale UAV dataset designed to solve multi-object tracking (MOT) and re-identification (Re-ID) ...
In this chapter, we first describe two systems used for 3D tracking of multiple animals in flight and then give examples of the use of such systems to ...
We propose a novel wildlife-specific 3D multi-object tracking workflow using inexpensive stereo camera traps. ... 3D multi-object tracking of wildlife (Klasen and ...
Nov 1, 2022 · We present a 3D multi-object tracking method for wildlife camera trapping using RGB-D cameras. We infer precise three-dimensional pose ...
May 9, 2022 · Simple Summary. Video recordings enable scientists to estimate species' presence, richness, abundance, demography, and activity.
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This work proposes an end-to-end multi-camera 3D multi-object tracking (MOT) framework. It emphasizes spatio-temporal continuity and integrates both past ...