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Bigger Brains Don t Make for Better Foragers

Bigger Brains Don t Make for Better Foragers
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United statesBarro colorado islandSmithsonian tropical research instituteBen hirschDiscover magazineProceedings of the royal societyMax planck institute of animal behaviorNatural laboratoryMax planck instituteAnimal behaviorWhat areMost intelligentScience news

Brain Size vs Foraging Skills: Primates and Smaller-Brained Mammals in Unprecedented Study

Brain Size vs Foraging Skills: Primates and Smaller-Brained Mammals in Unprecedented Study
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Barro colorado islandRaiko nakamuraSmithsonian institute of tropical researchMax planck institute of animal behaviorLife science instituteTokyo institute of technologyFruit diet hypothesisJuicy taleGetty imagesMax planck instituteAnimal behaviorSmithsonian instituteTropical researchGreat foraging puzzleWhat really fuels primateForgotten reactions

Scientists pit primates against smaller-brained mammals to find out who is the smartest forager

Scientists pit primates against smaller-brained mammals to find out who is the smartest forager
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Barro colorado islandMeg crofootBen hirschProceedings of the royal societyMax planck institute of animal behaviorSmithsonian institute of tropical researchUniversity of konstanzChristian zieglerMax planck instituteAnimal behaviorSmithsonian instituteTropical researchBiological sciencesHumboldt professor

Tracking animals without markers in the wild

Researchers developed a computer vision framework for posture estimation and identity tracking which they can use in indoor environments as well as in the wild. They have thus taken an important step towards markerless tracking of animals in the wild using computer vision and machine learning.

Alex chanUrs waldmannInternational journal of computer visionUniversity of konstanzMax planck institute of animal behaviorExcellence collective behaviourMax planck instituteAnimal behaviorInternational journalComputer visionMulti pigeon pose estimation

Scientists develop computer vision framework to track animals in the wild without markers

Researchers from the Cluster of Excellence Collective Behavior have developed a computer vision framework for posture estimation and identity tracking that they can use in indoor environments as well as in the wild. This is an important step toward the markerless tracking of animals in the wild using computer vision and machine learning.

Urs waldmannAlex chanMax planck institute of animal behaviorInternational journal of computer visionUniversity of konstanzInternational journalComputer visionExcellence collective behaviorMax planck instituteAnimal behaviorMulti pigeon pose estimationSegment anything model