{"url":"/method/centertrack","slug":"centertrack","name":"CenterTrack","full_name":"Track objects as points","full_name_withheld":false,"description_markdown":"Our tracker, CenterTrack, applies a detection model to a pair of images and detections from the prior frame. Given this minimal input, CenterTrack localizes objects and predicts their associations with the previous frame. That's it. CenterTrack is simple, online (no peeking into the future), and real-time.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Tracking Objects as Points","paper":"/paper/tracking-objects-as-points","first_author":"Xingyi Zhou","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/tracking-objects-as-points"},"source":{"url":"https://arxiv.org/abs/2004.01177v2","title":"Tracking Objects as Points","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Multi-Object Tracking Models","url":"/methods/category/multi-object-tracking-models","pwc_aliases":[]}],"n_papers_tagged":11,"archive_num_papers":11,"papers_newest_first":[{"paper":null,"title":"PlantTracing: Tracing Arabidopsis Thaliana Apex with CenterTrack","date":"2024-05-18","arxiv_id":"2405.11351","n_code_links":0,"syntology":null},{"paper":null,"title":"MotionTrack: End-to-End Transformer-based Multi-Object Tracing with LiDAR-Camera Fusion","date":"2023-06-29","arxiv_id":"2306.17000","n_code_links":0,"syntology":null},{"paper":null,"title":"TransFiner: A Full-Scale Refinement Approach for Multiple Object Tracking","date":"2022-07-26","arxiv_id":"2207.12967","n_code_links":0,"syntology":null},{"paper":null,"title":"SIMBAR: Single Image-Based Scene Relighting For Effective Data Augmentation For Automated Driving Vision Tasks","date":"2022-04-01","arxiv_id":"2204.00644","n_code_links":0,"syntology":null},{"paper":"/paper/dancetrack-multi-object-tracking-in-uniform","title":"DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion","date":"2021-11-29","arxiv_id":"2111.14690","n_code_links":3,"syntology":null},{"paper":"/paper/multiple-object-tracking-with-mixture-density","title":"Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation","date":"2021-06-21","arxiv_id":"2106.10950","n_code_links":0,"syntology":null},{"paper":"/paper/multi-object-tracking-with-tracked-object","title":"Multi-object Tracking with Tracked Object Bounding Box Association","date":"2021-05-17","arxiv_id":"2105.07901","n_code_links":1,"syntology":null},{"paper":"/paper/learning-to-track-with-object-permanence","title":"Learning to Track with Object Permanence","date":"2021-03-26","arxiv_id":"2103.14258","n_code_links":1,"syntology":{"ran":1,"of":1,"unverified":0,"pointer_only":0}},{"paper":"/paper/automated-blood-cell-counting-from-non","title":"A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos","date":"2020-11-26","arxiv_id":"2011.13371","n_code_links":2,"syntology":null},{"paper":null,"title":"Simple Unsupervised Multi-Object Tracking","date":"2020-06-04","arxiv_id":"2006.02609","n_code_links":0,"syntology":null},{"paper":"/paper/tracking-objects-as-points","title":"Tracking Objects as Points","date":"2020-04-02","arxiv_id":"2004.01177","n_code_links":7,"syntology":{"ran":4,"of":16,"unverified":12,"pointer_only":0}}],"papers_shown":11,"tasks":[{"task":"/task/object-tracking","name":"Object Tracking","papers":9},{"task":"/task/multi-object-tracking","name":"Multi-Object Tracking","papers":6},{"task":"/task/multiple-object-tracking","name":"Multiple Object Tracking","papers":6},{"task":"/task/object","name":"Object","papers":6},{"task":"/task/object-detection","name":"Object Detection","papers":5},{"task":"/task/object-detection-1","name":"object-detection","papers":5},{"task":"/task/autonomous-driving","name":"Autonomous Driving","papers":2},{"task":"/task/decoder","name":"Decoder","papers":2},{"task":"/task/cell-tracking","name":"Cell Tracking","papers":1},{"task":"/task/data-augmentation","name":"Data Augmentation","papers":1},{"task":"/task/object-localization","name":"Object Localization","papers":1},{"task":"/task/online-multi-object-tracking","name":"Online Multi-Object Tracking","papers":1},{"task":"/task/road-scene-understanding","name":"road scene understanding","papers":1}],"tasks_shown":13,"n_tasks":13,"usage_by_year":[{"year":"2020","papers":3},{"year":"2021","papers":4},{"year":"2022","papers":2},{"year":"2023","papers":1},{"year":"2024","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/centertrack"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}