Classification of bird species from video using appearance and motion features-Reference-Cited by-同舟云学术

Classification of bird species from video using appearance and motion features

Published:2018-11 Issue: Volume:48 Page:12-23
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Atanbori John^ORCID,Duan Wenting,Shaw Edward,Appiah Kofi,Dickinson Patrick

Funder

The National Parrot Sanctuary

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference61 articles.

1. Analysis of bat wing beat frequency using fourier transform;Atanbori,2013

2. A computer vision approach to classification of birds in flight from video sequences;Atanbori,2015

3. Automatic classification of flying bird species using computer vision techniques;Atanbori;Pattern Recogn. Lett.,2016

4. Poof: Part-based one-vs.-one features for fine-grained categorization, face verification, and attribute estimation;Berg,2013

5. Birdsnap: large-scale fine-grained visual categorization of birds;Berg,2014

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