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

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving deep learning based bluespotted ribbontail ray (Taeniura Lymma) recognition;Ecological Informatics;2024-09

2. Methodological Selection of Optimal Features for Object Classification Based on Stereovision System;Sensors;2024-06-18

3. Feathered Precision: AvianVision - A Hybrid CNN-Random Forest Approach for Accurate Classification of Sparrow Species;2024 11th International Conference on Signal Processing and Integrated Networks (SPIN);2024-03-21

4. Automated Bird Detection using using Snapshot Ensemble of Deep Learning Models;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24

5. Bird Species Detection Using Deep Learning Method;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01