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Literature DB >> 24972171

Distinguishing seemingly indistinguishable animals with computer vision.

Kristin Branson¹.

Abstract

Mesh：

Year: 2014 PMID： 24972171 DOI： 10.1038/nmeth.3004

Source DB: PubMed Journal: Nat Methods ISSN： 1548-7091 Impact factor: 28.547

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7 in total

1. Automated long-term tracking and social behavioural phenotyping of animal colonies within a semi-natural environment.

Authors: Aharon Weissbrod; Alexander Shapiro; Genadiy Vasserman; Liat Edry; Molly Dayan; Assif Yitzhaky; Libi Hertzberg; Ofer Feinerman; Tali Kimchi
Journal: Nat Commun Date: 2013 Impact factor: 14.919

2. Appearance matters: artificial marking alters aggression and stress.

Authors: R L Dennis; R C Newberry; H-W Cheng; I Estevez
Journal: Poult Sci Date: 2008-10 Impact factor: 3.352

Review 3. Automated image-based tracking and its application in ecology.

Authors: Anthony I Dell; John A Bender; Kristin Branson; Iain D Couzin; Gonzalo G de Polavieja; Lucas P J J Noldus; Alfonso Pérez-Escudero; Pietro Perona; Andrew D Straw; Martin Wikelski; Ulrich Brose
Journal: Trends Ecol Evol Date: 2014-06-05 Impact factor: 17.712

4. Automated multi-day tracking of marked mice for the analysis of social behaviour.

Authors: Shay Ohayon; Ofer Avni; Adam L Taylor; Pietro Perona; S E Roian Egnor
Journal: J Neurosci Methods Date: 2013-06-26 Impact factor: 2.390

5. idTracker: tracking individuals in a group by automatic identification of unmarked animals.

Authors: Alfonso Pérez-Escudero; Julián Vicente-Page; Robert C Hinz; Sara Arganda; Gonzalo G de Polavieja
Journal: Nat Methods Date: 2014-06-01 Impact factor: 28.547

6. High-throughput ethomics in large groups of Drosophila.

Authors: Kristin Branson; Alice A Robie; John Bender; Pietro Perona; Michael H Dickinson
Journal: Nat Methods Date: 2009-05-03 Impact factor: 28.547

7. Automated monitoring and analysis of social behavior in Drosophila.

Authors: Heiko Dankert; Liming Wang; Eric D Hoopfer; David J Anderson; Pietro Perona
Journal: Nat Methods Date: 2009-03-08 Impact factor: 28.547

7 in total

4 in total

Distinguishing seemingly indistinguishable animals with computer vision.

1. Automated long-term tracking and social behavioural phenotyping of animal colonies within a semi-natural environment.

2. Appearance matters: artificial marking alters aggression and stress.

Review 3. Automated image-based tracking and its application in ecology.

4. Automated multi-day tracking of marked mice for the analysis of social behaviour.

5. idTracker: tracking individuals in a group by automatic identification of unmarked animals.

6. High-throughput ethomics in large groups of Drosophila.

7. Automated monitoring and analysis of social behavior in Drosophila.

Review 1. Rage Against the Machine: Advancing the study of aggression ethology via machine learning.

2. Developing highER-throughput zebrafish screens for in-vivo CNS drug discovery.

3. Zebrafish tracking using convolutional neural networks.

4. scAnt-an open-source platform for the creation of 3D models of arthropods (and other small objects).