{"id":"https://openalex.org/W1975589496","doi":"https://doi.org/10.1109/cimsivp.2014.7013295","title":"A multi-modal moving object detection method based on GrowCut segmentation","display_name":"A multi-modal moving object detection method based on GrowCut segmentation","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1975589496","doi":"https://doi.org/10.1109/cimsivp.2014.7013295","mag":"1975589496"},"language":"en","primary_location":{"id":"doi:10.1109/cimsivp.2014.7013295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cimsivp.2014.7013295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP)","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/A5040327019","display_name":"Xiuwei Zhang","orcid":"https://orcid.org/0000-0001-7230-1476"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuwei Zhang","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi'an, China","School of computer science, Northwestern Polytechnical University,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of computer science, Northwestern Polytechnical University,Xi'an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028235866","display_name":"Yanning Zhang","orcid":"https://orcid.org/0000-0002-2977-8057"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanning Zhang","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi'an, China","School of computer science, Northwestern Polytechnical University,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of computer science, Northwestern Polytechnical University,Xi'an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078239319","display_name":"Stephen J. Maybank","orcid":"https://orcid.org/0000-0003-2113-9119"},"institutions":[{"id":"https://openalex.org/I98259816","display_name":"Birkbeck, University of London","ror":"https://ror.org/02mb95055","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I98259816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stephen John Maybank","raw_affiliation_strings":["Department of Computer Science and Information Systems, Birkbeck College, London, United Kingdom","Department of Computer Science and Information Systems Birkbeck College London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Systems, Birkbeck College, London, United Kingdom","institution_ids":["https://openalex.org/I98259816"]},{"raw_affiliation_string":"Department of Computer Science and Information Systems Birkbeck College London, United Kingdom","institution_ids":["https://openalex.org/I98259816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049414195","display_name":"Jun Liang","orcid":"https://orcid.org/0000-0001-8942-0391"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Liang","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi'an, China","School of computer science, Northwestern Polytechnical University,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of computer science, Northwestern Polytechnical University,Xi'an,China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.9168272018432617},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8324303030967712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8204551935195923},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.72005695104599},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6609131097793579},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.655945360660553},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6211614608764648},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6118751168251038},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5926005244255066},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.5618807077407837},{"id":"https://openalex.org/keywords/halo","display_name":"Halo","score":0.4458951950073242},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.44313982129096985},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4392060935497284},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4312199652194977},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.41657552123069763},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.37495988607406616},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33589205145835876},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08921340107917786}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.9168272018432617},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8324303030967712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8204551935195923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72005695104599},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6609131097793579},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.655945360660553},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6211614608764648},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6118751168251038},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5926005244255066},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.5618807077407837},{"id":"https://openalex.org/C184665706","wikidata":"https://www.wikidata.org/wiki/Q186310","display_name":"Halo","level":3,"score":0.4458951950073242},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.44313982129096985},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4392060935497284},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4312199652194977},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.41657552123069763},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.37495988607406616},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33589205145835876},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08921340107917786},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C98444146","wikidata":"https://www.wikidata.org/wiki/Q318","display_name":"Galaxy","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cimsivp.2014.7013295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cimsivp.2014.7013295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W87554413","https://openalex.org/W1514910762","https://openalex.org/W1517104072","https://openalex.org/W1952950536","https://openalex.org/W1970579918","https://openalex.org/W2015148749","https://openalex.org/W2024449335","https://openalex.org/W2026965346","https://openalex.org/W2038420319","https://openalex.org/W2062331217","https://openalex.org/W2065542868","https://openalex.org/W2074351828","https://openalex.org/W2130293653","https://openalex.org/W2132880450","https://openalex.org/W2147479551","https://openalex.org/W2168952643","https://openalex.org/W2323370371","https://openalex.org/W2977554654","https://openalex.org/W3096983622","https://openalex.org/W4248936881","https://openalex.org/W6680203333","https://openalex.org/W6684837284"],"related_works":["https://openalex.org/W2355776095","https://openalex.org/W2045973981","https://openalex.org/W2067373798","https://openalex.org/W1982924220","https://openalex.org/W33885555","https://openalex.org/W3142777113","https://openalex.org/W2058680120","https://openalex.org/W2112404948","https://openalex.org/W2053359623","https://openalex.org/W2460709173"],"abstract_inverted_index":{"Commonly-used":[0],"motion":[1,49],"detection":[2,50,63],"methods,":[3],"such":[4],"as":[5],"background":[6],"subtraction,":[7],"optical":[8],"flow":[9],"and":[10,31,41,57,71,79],"frame":[11],"subtraction":[12],"are":[13,24,44],"all":[14],"based":[15],"on":[16],"the":[17,66,75],"differences":[18],"between":[19,29],"consecutive":[20],"image":[21,70],"frames.":[22],"There":[23],"many":[25],"difficulties,":[26],"including":[27],"similarities":[28],"objects":[30],"background,":[32],"shadows,":[33],"low":[34],"illumination,":[35],"thermal":[36,42,58],"halo.":[37],"Visible":[38],"light":[39],"images":[40,43],"complementary.":[45],"Many":[46],"difficulties":[47,76],"in":[48,55,82],"do":[51],"not":[52],"occur":[53],"simultaneously":[54],"visible":[56],"images.":[59],"The":[60],"proposed":[61],"multimodal":[62],"method":[64,90],"combines":[65],"advantages":[67],"of":[68],"multi-modal":[69],"GrowCut":[72],"segmentation,":[73],"overcomes":[74],"mentioned":[77],"above":[78],"works":[80],"well":[81],"complicated":[83],"outdoor":[84],"surveillance":[85],"environments.":[86],"Experiments":[87],"showed":[88],"our":[89],"yields":[91],"better":[92],"results":[93],"than":[94],"commonly-used":[95],"fusion":[96],"methods.":[97]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}