5 docs tagged with "Release 2023-06"

The Camera Traps application is both a simulator and IoT device software for utilizing machine learning on the edge in field research. The first implementation specializes in applying computer vision (detection and classification) to wildlife images for animal ecology studies. Two operational modes are supported (1) an input dataset of images to act as the images that would be generated an IoT camera device or (2) an input video file that would be captured by a camera which is then processed by an image detecting plugin that saves frames with motion in them; it uses these images to drive the simulation.

This repository contains tools and instructions for reproducing the experiments in the paper

The ctcontroller tool can be used to manage the provisioning and releasing of edge hardware as well as running and shutting down the camera-traps application.

Region2vec: Community Detection on Spatial Networks Using Graph Embedding with Node Attributes and Spatial Interactions

We present a species classification model that utilizes heterogeneous image contexts organized in a multimodal knowledge graph. The multimodal knowledge graph may include diverse forms of heterogeneous contexts that pertain to different modalities, such as numerical information for locations and time, categorical data for species/taxon IDs, and visual content such as images.