{"645752":{"#nid":"645752","#data":{"type":"event","title":"CSIP Seminar: Recursive Tensor Robust Principal Component Analysis","body":[{"value":"\u003Cp\u003ECenter for Signal and Information Processing (CSIP) Seminar Series presents: \u003Cem\u003ERecursive Tensor Robust Principal Component Analysis\u003C\/em\u003E-Mohammadpour Salut Mohammad\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDate: Friday, April 2, 2021\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETime: 3:00pm\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBluejeans link: \u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fbluejeans.com%2F621436705\u0026amp;data=04%7C01%7Cashlee.gardner%40ece.gatech.edu%7C82bd7dc602ba4d5c314708d8efbfa863%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637522955350827787%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=hRteqCk16F%2F9YKMbDwbakE6sNgut4uBbsasMCOc8JF4%3D\u0026amp;reserved=0\u0022\u003Ehttps:\/\/bluejeans.com\/621436705\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMohammad Salut received the M.S. degree in Georgia Institute of Technology in 2018. He is currently pursuing the Ph.D. degree in electrical engineering. My current research interests are in high dimensional data analysis and machine learning for multi-stream signals, images, videos, point clouds and MRI.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nABSTRACT: Online robust PCA algorithms are widely used in signal processing applications such as video surveillance, denoising, and anomaly detection. However, these methods operate on data vectors and cannot directly be applied to higher-order data arrays. This talk introduces a new tensor-based recursive robust PCA algorithm that preserves the multidimensional structures of data. Our algorithm is based on the recently proposed tensor singular value decomposition (T-SVD). We demonstrate its operation on the application of background\/foreground separation in a video stream. The background component is modeled as a gradually changing low-rank subspace. The foreground component is modeled as a sparse signal with a tensor dictionary outside the subspace. Extensive experiments on real-world videos are presented. Results indicate that our method can effectively separate background and foreground in a video.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECenter for Signal and Information Processing (CSIP) Seminar Series presents: \u003Cem\u003ERecursive Tensor Robust Principal Component Analysis\u003C\/em\u003E-Mohammadpour Salut Mohammad\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Center for Signal and Information Processing (CSIP) Seminar Series presents: Recursive Tensor Robust Principal Component Analysis-Mohammadpour Salut Mohammad "}],"uid":"27842","created_gmt":"2021-03-25 19:16:13","changed_gmt":"2021-03-25 19:16:32","author":"Ashlee Gardner","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-04-02T16:00:00-04:00","event_time_end":"2021-04-02T16:59:00-04:00","event_time_end_last":"2021-04-02T16:59:00-04:00","gmt_time_start":"2021-04-02 20:00:00","gmt_time_end":"2021-04-02 20:59:00","gmt_time_end_last":"2021-04-02 20:59:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1255","name":"School of Electrical and Computer Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EProf. Ghassan AlRegib (\u003Ca href=\u0022mailto:alregib@gatech.edu\u0022\u003Ealregib@gatech.edu\u003C\/a\u003E) or Jeanetta Clinton (\u003Ca href=\u0022mailto:jeanetta.clinton@ece.gatech.edu\u0022\u003Ejeanetta.clinton@ece.gatech.edu\u003C\/a\u003E)\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}