Amanote Research

Amanote Research

    RegisterSign In

Magnetic Body Alignment in Migratory Songbirds: A Computer Vision Approach

Journal of Experimental Biology - United Kingdom
doi 10.1242/jeb.196469
Full Text
Open PDF
Abstract

Available in full text

Categories
EvolutionEcologyInsect ScienceMolecular BiologySystematicsAnimal ScienceMedicineAquatic ScienceBehaviorZoologyPhysiology
Date

February 6, 2019

Authors
Giuseppe BiancoRobin Clemens KöhlerMihaela IlievaSusanne Åkesson
Publisher

The Company of Biologists


Related search

Magnetic Storms Disrupt Nocturnal Migratory Activity in Songbirds

Biology Letters
AgriculturalBiological Sciences
2019English

Decline of DDT Residues in Migratory Songbirds

Science
MultidisciplinaryPhilosophy of ScienceHistory
1974English

A Computer Vision Based Lane Detection Approach

International Journal of Image, Graphics and Signal Processing
2019English

Geostatistics as a Tool for Examining Hypothesized Declines in Migratory Songbirds

Ecology
EvolutionEcologySystematicsBehavior
1996English

A Purposive Computer Vision System: A Multi-Agent Approach

English

Computer Vision on Multi-Core Processors: Articulated Body Tracking

2007English

SUPPORT FOR ROBOT DOCKING AND ENERGY FORAGING - A Computer Vision Approach

2012English

Computer Vision in Human-Computer Interaction

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2004English

Computer Vision.

Journal of the Institute of Electrical Engineers of Japan
Electronic EngineeringElectrical
1996English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy