{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/tracking-all-members-of-a-honey-bee-colony","title":"Tracking all members of a honey bee colony over their lifetime","arxiv_id":"1802.03192","date":"2018-02-09","proceeding":null,"authors":["Franziska Boenisch","Benjamin Rosemann","Benjamin Wild","Fernando Wario","David Dormagen","Tim Landgraf"],"abstract":"Computational approaches to the analysis of collective behavior in social\ninsects increasingly rely on motion paths as an intermediate data layer from\nwhich one can infer individual behaviors or social interactions. Honey bees are\na popular model for learning and memory. Previous experience has been shown to\naffect and modulate future social interactions. So far, no lifetime history\nobservations have been reported for all bees of a colony. In a previous work we\nintroduced a tracking system customized to track up to $4000$ bees over several\nweeks. In this contribution we present an in-depth description of the\nunderlying multi-step algorithm which both produces the motion paths, and also\nimproves the marker decoding accuracy significantly. We automatically tracked\n${\\sim}2000$ marked honey bees over 10 weeks with inexpensive recording\nhardware using markers without any error correction bits. We found that the\nproposed two-step tracking reduced incorrect ID decodings from initially\n${\\sim}13\\%$ to around $2\\%$ post-tracking. Alongside this paper, we publish\nthe first trajectory dataset for all bees in a colony, extracted from ${\\sim}\n4$ million images. We invite researchers to join the collective scientific\neffort to investigate this intriguing animal system. All components of our\nsystem are open-source.","url_abs":"http://arxiv.org/abs/1802.03192v2","url_pdf":"http://arxiv.org/pdf/1802.03192v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"tracking-all-members-of-a-honey-bee-colony","repo_url":"https://github.com/BioroboticsLab/bb_tracking","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"all","task_name":"All"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1802.03192","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}