{"id":"https://openalex.org/W1576034190","doi":"https://doi.org/10.1109/icassp.2015.7178233","title":"A robust motion detection algorithm on noisy videos","display_name":"A robust motion detection algorithm on noisy videos","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1576034190","doi":"https://doi.org/10.1109/icassp.2015.7178233","mag":"1576034190"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7178233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101909277","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-3914-1252"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["National University of Defense Technology","National University of Defense Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001902162","display_name":"Huaxin Xiao","orcid":"https://orcid.org/0000-0003-4524-2698"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaxin Xiao","raw_affiliation_strings":["National University of Defense Technology","National University of Defense Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100776069","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-3421-3835"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["National University of Defense Technology","National University of Defense Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100770607","display_name":"Maojun Zhang","orcid":"https://orcid.org/0000-0001-6748-0545"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maojun Zhang","raw_affiliation_strings":["National University of Defense Technology","National University of Defense Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1563","last_page":"1567"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8309317827224731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7519042491912842},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.7275036573410034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6507304310798645},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5719662308692932},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.5253390669822693},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5171369910240173},{"id":"https://openalex.org/keywords/random-projection","display_name":"Random projection","score":0.49933862686157227},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4687595069408417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4644363820552826},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4494393765926361},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.4417320489883423},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4391898810863495},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4229361116886139},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.16744470596313477},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1496131718158722}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8309317827224731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519042491912842},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.7275036573410034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6507304310798645},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5719662308692932},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.5253390669822693},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5171369910240173},{"id":"https://openalex.org/C2777036070","wikidata":"https://www.wikidata.org/wiki/Q18393452","display_name":"Random projection","level":2,"score":0.49933862686157227},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4687595069408417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4644363820552826},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4494393765926361},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.4417320489883423},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4391898810863495},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4229361116886139},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.16744470596313477},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1496131718158722},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2015.7178233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1499877760","https://openalex.org/W1608074891","https://openalex.org/W1693345094","https://openalex.org/W2035866593","https://openalex.org/W2063978378","https://openalex.org/W2096309046","https://openalex.org/W2102625004","https://openalex.org/W2112447569","https://openalex.org/W2115213191","https://openalex.org/W2127070222","https://openalex.org/W2133665775","https://openalex.org/W2140235142","https://openalex.org/W2141572457","https://openalex.org/W2160547390","https://openalex.org/W6629695367","https://openalex.org/W6636600324","https://openalex.org/W6637369054"],"related_works":["https://openalex.org/W2355776095","https://openalex.org/W2067373798","https://openalex.org/W2045973981","https://openalex.org/W2138865405","https://openalex.org/W1982924220","https://openalex.org/W33885555","https://openalex.org/W3142777113","https://openalex.org/W2058680120","https://openalex.org/W2112404948","https://openalex.org/W2053359623"],"abstract_inverted_index":{"The":[0,61],"applicability":[1],"and":[2,32,57,70,82],"performance":[3],"of":[4,35,53,63,75,89],"motion":[5],"detection":[6,42],"methods":[7],"dramatically":[8],"degrade":[9],"with":[10],"the":[11,48,54,58,66,73,87,90],"increasing":[12],"noise.":[13],"In":[14],"this":[15],"paper,":[16],"we":[17],"propose":[18],"a":[19,30,38],"robust":[20],"dictionary-based":[21],"background":[22,27,59],"subtraction":[23],"approach,":[24],"which":[25],"formulates":[26],"modeling":[28],"as":[29],"linear":[31],"sparse":[33,51],"combination":[34],"atoms":[36],"in":[37],"pre-learned":[39],"dictionary.":[40],"Motion":[41],"is":[43],"then":[44],"implemented":[45],"to":[46,94],"compare":[47],"difference":[49],"between":[50],"representations":[52],"current":[55],"frame":[56],"model.":[60],"projection":[62],"noise":[64],"over":[65],"dictionary":[67],"being":[68],"irregular":[69],"random":[71],"guarantees":[72],"adaptability":[74],"our":[76],"approach.":[77],"Experimental":[78],"results":[79],"on":[80],"synthetic":[81],"real":[83],"noisy":[84],"videos":[85],"demonstrate":[86],"robustness":[88],"proposed":[91],"approach":[92],"compared":[93],"other":[95],"methods.":[96]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}