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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

Researchers map meerkat chit-chat

Meerkats use two different types of vocal interactions to stay in touch with their group mates. Sometimes the call simply broadcasts information, whereas other times meerkats engage in a call exchange with their neighbors, as researchers from the Center for the Advanced Study of Collective Behavior at the University of Konstanz and the Max Planck Institute of Animal Behavior present in a new publication published on 20 May in Philosophical Transactions of the Royal Society B.

South africaAriana strandburg peshkinMax planck institute of animal behaviorPhilosophical transactions of the royal societyUniversity of konstanzKalahari research centerUniversity of zurichVlad demartsevAdvanced studyCollective behaviorMax planck instituteAnimal behaviorPhilosophical transactionsRoyal societyExcellence collective behaviorRoyal societyb biological sciences

Computer scientists develop model that explains how collective scenarios such as diseases may proceed

Computer scientists develop model that explains how collective scenarios such as diseases may proceed
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Tatjana petrovJulia kleinUniversity of konstanzExcellence collective behavior