Feb 10, 2021 · In this study, we propose an automated camera trap-based approach to detect and identify animals using depth estimation. To detect and identify ...
Feb 25, 2021 · In this study, we propose a fully automatic approach to estimate camera-to-animal distances, based on monocular depth estimation (MDE), and ...
Feb 11, 2021 · To detect and identify individual animals, we propose a novel method D-Mask R-CNN for the so-called instance segmentation which is a deep ...
Feb 10, 2021 · "Which camera trap type and how many do I need?" A review of camera features and study designs for a range of wildlife research applications.
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为了检测和识别动物个体，我们提出了一种新的方法D-Mask R-CNN用于所谓的实例分割，这是一种基于深度学习的技术，可以检测和描绘出现在图像或视频剪辑中的每 ...
This study proposes an automatized pipeline utilizing monocular depth estimation and depth image calibration methods.
Nov 23, 2022 · This study presents a novel approach to 3D camera trapping featuring highly optimized hardware and software. This approach employs stereo vision.
Dec 7, 2022 · In addition to color and infrared images, the D435 is able to infer the distance (or “depth”) to objects in the scene using stereo vision.
Haucke et al. Exploiting Depth Information for Wildlife Monitoring. (2021). J.E. Herbert-Read. Understanding how animal groups achieve coordinated movement. J ...
We argue that animal ecologists can capitalize on large datasets generated by modern sensors by combining machine learning approaches with domain knowledge.