{"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/planar-object-tracking-in-the-wild-a","title":"Planar Object Tracking in the Wild: A Benchmark","arxiv_id":"1703.07938","date":"2017-03-23","proceeding":null,"authors":["Pengpeng Liang","Yifan Wu","Hu Lu","Liming Wang","Chunyuan Liao","Haibin Ling"],"abstract":"Planar object tracking is an actively studied problem in vision-based robotic\napplications. While several benchmarks have been constructed for evaluating\nstate-of-the-art algorithms, there is a lack of video sequences captured in the\nwild rather than in constrained laboratory environment. In this paper, we\npresent a carefully designed planar object tracking benchmark containing 210\nvideos of 30 planar objects sampled in the natural environment. In particular,\nfor each object, we shoot seven videos involving various challenging factors,\nnamely scale change, rotation, perspective distortion, motion blur, occlusion,\nout-of-view, and unconstrained. The ground truth is carefully annotated\nsemi-manually to ensure the quality. Moreover, eleven state-of-the-art\nalgorithms are evaluated on the benchmark using two evaluation metrics, with\ndetailed analysis provided for the evaluation results. We expect the proposed\nbenchmark to benefit future studies on planar object tracking.","url_abs":"http://arxiv.org/abs/1703.07938v2","url_pdf":"http://arxiv.org/pdf/1703.07938v2.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":[],"tasks":[{"task_slug":"homography-estimation","task_name":"Homography Estimation"},{"task_slug":"object","task_name":"Object"},{"task_slug":"object-tracking","task_name":"Object Tracking"}],"methods":[],"datasets_introduced":[{"slug":"pot-210","name":"POT-210","full_name":"Planar Object Tracking in the Wild: A Benchmark"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1703.07938","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}