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Automated Visual Large Scale Monitoring of Faunal Biodiversity
Bernd Radig
, Paul Bodesheim
, Dimitri Korsch
, Joachim Denzler
, Timm Haucke
, Morris Klasen
, Volker Steinhage
TUM Emeriti of Excellence
Friedrich Schiller University Jena
University of Bonn
Research output
:
Contribution to journal
›
Article
›
peer-review
4
Scopus citations
Overview
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Dive into the research topics of 'Automated Visual Large Scale Monitoring of Faunal Biodiversity'. Together they form a unique fingerprint.
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Keyphrases
Large-scale Monitoring
100%
Camera Trap
100%
Faunal Biodiversity
100%
Stereo Camera
50%
Autonomous Operation
50%
Human Interaction
50%
Color Camera
50%
Biologists
50%
High-resolution
50%
Power Supply
50%
Natural Environment
50%
System Design
50%
Human Observer
50%
Image Sequence
50%
Data Transmission
50%
Central Server
50%
Power Requirement
50%
Design Decisions
50%
Biodiversity
50%
Across Spaces
50%
Environmental Conditions
50%
Feature Data
50%
Three-dimensional Coordinates
50%
Data Exchange
50%
Wildlife
50%
Image-to-image
50%
Species Movement
50%
Movement Detection
50%
Presence-absence
50%
Plant Life
50%
Technical Equipment
50%
Remote Site
50%
Species Identification
50%
Plant Pathogenic Fungi
50%
Hard-to-reach
50%
Spatial Reconstruction
50%
Species Range
50%
Biodiversity Monitoring
50%
Plant Microbiome
50%
Image Capture
50%
Spatial Mobility
50%
Redundant Elements
50%
Animal-microbe
50%
Animal Life
50%
Engineering
Power Requirement
100%
Power Supply
100%
Additional Feature
100%
Ten Year
100%
Hardware Element
100%
Human Observer
100%
High Resolution
100%
Technical Equipment
100%
Animal Life
100%
Image Sequence
100%
Earth and Planetary Sciences
Physical Environment
100%
Data Exchange
100%
Animal Life
100%
Plant Life
100%
Human Habitat
100%
Spatial Mobility
100%
Data Transmission
100%
Computer Science
stereo camera
100%
Image Sequence
100%
Image Capture
100%
Redundant Data
100%
Human Interaction
100%
Power Requirement
100%
Computer Hardware
100%
Agricultural and Biological Sciences
Biodiversity
100%
Camera Trap
66%
Biologists
33%
Species Identification
33%