{"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/cell-tracking-by-detection-using-elliptical","title":"Cell Tracking-by-detection using Elliptical Bounding Boxes","arxiv_id":"2310.04895","date":"2023-10-07","proceeding":null,"authors":["Lucas N. Kirsten","Cláudio R. Jung"],"abstract":"Cell detection and tracking are paramount for bio-analysis. Recent approaches rely on the tracking-by-model evolution paradigm, which usually consists of training end-to-end deep learning models to detect and track the cells on the frames with promising results. However, such methods require extensive amounts of annotated data, which is time-consuming to obtain and often requires specialized annotators. This work proposes a new approach based on the classical tracking-by-detection paradigm that alleviates the requirement of annotated data. More precisely, it approximates the cell shapes as oriented ellipses and then uses generic-purpose oriented object detectors to identify the cells in each frame. We then rely on a global data association algorithm that explores temporal cell similarity using probability distance metrics, considering that the ellipses relate to two-dimensional Gaussian distributions. Our results show that our method can achieve detection and tracking results competitively with state-of-the-art techniques that require considerably more extensive data annotation. Our code is available at: https://github.com/LucasKirsten/Deep-Cell-Tracking-EBB.","url_abs":"https://arxiv.org/abs/2310.04895v2","url_pdf":"https://arxiv.org/pdf/2310.04895v2.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":"cell-tracking-by-detection-using-elliptical","repo_url":"https://github.com/LucasKirsten/Deep-Cell-Tracking-EBB","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"cell-detection","task_name":"Cell Detection"},{"task_slug":"cell-tracking","task_name":"Cell Tracking"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/cell-detection-on-fluo-n2dh-gowt1","task":"Cell Detection","dataset":"Fluo-N2DH-GOWT1","model":"LC-UFRGS-BR-W","rank_in_archive_order":1,"of":2,"metrics":{"DET":"0.970","TRA":"0.959"},"uses_additional_data":false},{"leaderboard":"/sota/cell-detection-on-fluo-n2dh-gowt1","task":"Cell Detection","dataset":"Fluo-N2DH-GOWT1","model":"LC-UFRGS-BR","rank_in_archive_order":2,"of":2,"metrics":{"DET":"0.925","TRA":"0.922"},"uses_additional_data":false},{"leaderboard":"/sota/cell-detection-on-fluo-n2dl-hela","task":"Cell Detection","dataset":"Fluo-N2DL-HeLa","model":"LC-UFRGS-BR-W","rank_in_archive_order":1,"of":2,"metrics":{"DET":"0.989","TRA":"0.988"},"uses_additional_data":false},{"leaderboard":"/sota/cell-detection-on-fluo-n2dl-hela","task":"Cell Detection","dataset":"Fluo-N2DL-HeLa","model":"LC-UFRGS-BR","rank_in_archive_order":2,"of":2,"metrics":{"DET":"0.986","TRA":"0.984"},"uses_additional_data":false},{"leaderboard":"/sota/cell-detection-on-phc-c2dh-u373","task":"Cell Detection","dataset":"PhC-C2DH-U373","model":"LC-UFRGS-BR-W","rank_in_archive_order":1,"of":2,"metrics":{"DET":"0.979","TRA":"0.976"},"uses_additional_data":false},{"leaderboard":"/sota/cell-detection-on-phc-c2dh-u373","task":"Cell Detection","dataset":"PhC-C2DH-U373","model":"LC-UFRGS-BR","rank_in_archive_order":2,"of":2,"metrics":{"DET":"0.914","TRA":"0.909"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}