{"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/unmasking-the-abnormal-events-in-video","title":"Unmasking the abnormal events in video","arxiv_id":"1705.08182","date":"2017-05-23","proceeding":"ICCV 2017 10","authors":["Radu Tudor Ionescu","Sorina Smeureanu","Bogdan Alexe","Marius Popescu"],"abstract":"We propose a novel framework for abnormal event detection in video that\nrequires no training sequences. Our framework is based on unmasking, a\ntechnique previously used for authorship verification in text documents, which\nwe adapt to our task. We iteratively train a binary classifier to distinguish\nbetween two consecutive video sequences while removing at each step the most\ndiscriminant features. Higher training accuracy rates of the intermediately\nobtained classifiers represent abnormal events. To the best of our knowledge,\nthis is the first work to apply unmasking for a computer vision task. We\ncompare our method with several state-of-the-art supervised and unsupervised\nmethods on four benchmark data sets. The empirical results indicate that our\nabnormal event detection framework can achieve state-of-the-art results, while\nrunning in real-time at 20 frames per second.","url_abs":"http://arxiv.org/abs/1705.08182v3","url_pdf":"http://arxiv.org/pdf/1705.08182v3.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":"abnormal-event-detection-in-video","task_name":"Abnormal Event Detection In Video"},{"task_slug":"anomaly-detection","task_name":"Anomaly Detection"},{"task_slug":"authorship-verification","task_name":"Authorship Verification"},{"task_slug":"event-detection","task_name":"Event Detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/anomaly-detection-on-chuk-avenue","task":"Anomaly Detection","dataset":"CUHK Avenue","model":"Unmasking","rank_in_archive_order":34,"of":35,"metrics":{"AUC":"80.6%"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1705.08182","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}