research-article

Visual Analytics for Cheetah Behaviour Analysis

Authors:

Sabrina Jaeger,

Jörg Melzheimer,

Bettina Wachter,

Heribert Hofer,

Artur Baltabayev,

Falk SchreiberAuthors Info & Claims

VINCI '19: Proceedings of the 12th International Symposium on Visual Information Communication and Interaction

Article No.: 16, Pages 1 - 8

https://doi.org/10.1145/3356422.3356435

Published: 20 September 2019 Publication History

Abstract

Recent advances in tracking technology allow biologists to collect large amounts of movement data for a variety of species. Analysis of the collected data supports research on animal behaviour, influence of impact factors such as climate change and human intervention, as well as conservation programs. Analysis of the movement data is difficult, due to the nature of the research questions and the complexity of the data sets. It requires both automated analysis, e.g. for the detection of behavioural patterns, and human inspection, e.g. for interpretation, inclusion of previous knowledge, and for conclusions on future actions and decision making. We present a concept and implementation for the visual analysis of cheetah movement data in a web-based fashion that allows usage both in the field and in office environments.

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Cited By

Tao TLiu CZhibo HChu XMengxia LSonglong L(2024)Numerical Simulation System of Navigation Control with Human-Machine Cooperation for Maritime Autonomous Surface Ships2024 10th International Conference on Electrical Engineering, Control and Robotics (EECR)10.1109/EECR60807.2024.10607257(160-165)Online publication date: 29-Mar-2024
https://doi.org/10.1109/EECR60807.2024.10607257
Klaas ERoopaei M(2021)Immersive Analytics Application in Smart Agriculture and Animal Behavior2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)10.1109/CCWC51732.2021.9375943(0290-0296)Online publication date: 27-Jan-2021
https://doi.org/10.1109/CCWC51732.2021.9375943
Klein KJaeger SMelzheimer JWachter BHofer HBaltabayev ASchreiber F(2021)Visual analytics of sensor movement data for cheetah behaviour analysisJournal of Visualization10.1007/s12650-021-00742-624:4(807-825)Online publication date: 1-Aug-2021
https://dl.acm.org/doi/10.1007/s12650-021-00742-6

Visual Analytics for Cheetah Behaviour Analysis
1. Computing methodologies

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cover image ACM Other conferences

VINCI '19: Proceedings of the 12th International Symposium on Visual Information Communication and Interaction

September 2019

201 pages

ISBN:9781450376266

DOI:10.1145/3356422

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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East China Normal University

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New York, NY, United States

Publication History

Published: 20 September 2019

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VINCI'2019

VINCI'2019: The 12th International Symposium on Visual Information Communication and Interaction

September 20 - 22, 2019

Shanghai, China

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Overall Acceptance Rate 71 of 193 submissions, 37%

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Cited By

Tao TLiu CZhibo HChu XMengxia LSonglong L(2024)Numerical Simulation System of Navigation Control with Human-Machine Cooperation for Maritime Autonomous Surface Ships2024 10th International Conference on Electrical Engineering, Control and Robotics (EECR)10.1109/EECR60807.2024.10607257(160-165)Online publication date: 29-Mar-2024
https://doi.org/10.1109/EECR60807.2024.10607257
Klaas ERoopaei M(2021)Immersive Analytics Application in Smart Agriculture and Animal Behavior2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)10.1109/CCWC51732.2021.9375943(0290-0296)Online publication date: 27-Jan-2021
https://doi.org/10.1109/CCWC51732.2021.9375943
Klein KJaeger SMelzheimer JWachter BHofer HBaltabayev ASchreiber F(2021)Visual analytics of sensor movement data for cheetah behaviour analysisJournal of Visualization10.1007/s12650-021-00742-624:4(807-825)Online publication date: 1-Aug-2021
https://dl.acm.org/doi/10.1007/s12650-021-00742-6

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