Estimate animal density and abundance using random encounter models
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Updated
Apr 11, 2016 - R
Estimate animal density and abundance using random encounter models
Method Multi-Layer Robust Principal Component Analysis. This method was introduced in the paper Camera-Trap Images Segmentation using Multi-Layer Robust Principal Component Analysis
Method for clasifying animal-genera from camera-trap images.
repository for species detection model training
Small circuit to trigger cellphone camera
lightweight web-based motion security cam viewer frontend with image management and detection control. Camera trap with less administration effort optimized for pragmatic home surveillance and mobile use made for Debian @ Raspberry Pi security webcam.
[CVPR Workshops 2021] TensorFlow implementation for the paper "Filtering Empty Camera Trap Images in Embedded Systems"
1st Place Solution to iWildcam 2021: Count the number of animals of each species present in a sequence of images
Camera trap analysis easier than ever before
Sense and record bats based on visuals, audio and VHF signals
A desktop application that makes using MegaDetector's model easier
Tools for working with Camera Trap images and data
Single-species, dynamic occupancy models to investigate seasonal habitat-use patterns
The Pygmy Possum is a battery powered PIR (Passive Infrared) sensor for triggering remote camera traps.
Exploration utilities for Wildlife Insights projects.
Multispecies occupancy models to investigate seasonal co-occurrence of predator-prey pairs and changes withing these co-occurrences.
[Ecological Informatics] TensorFlow implementation for the paper "Bag of tricks for long-tail visual recognition of animal species in camera-trap images"
📦 camtrapmonitoring is an R package for planning and evaluating camera trap surveys and (soon) estimating wildlife density. Formerly named {wildcam}.
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