{"id":"https://openalex.org/W2159154159","doi":"https://doi.org/10.1109/mmsp.2008.4665204","title":"Automatic video object segmentation using depth information and an active contour model","display_name":"Automatic video object segmentation using depth information and an active contour model","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2159154159","doi":"https://doi.org/10.1109/mmsp.2008.4665204","mag":"2159154159"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2008.4665204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2008.4665204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 10th Workshop on Multimedia Signal Processing","raw_type":"proceedings-article"},"type":"article","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/A5063447722","display_name":"Yi Ma","orcid":"https://orcid.org/0000-0002-6715-4309"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Y. Ma","raw_affiliation_strings":["Centre for Communication Systems Research, University of Surrey, Surrey, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Communication Systems Research, University of Surrey, Surrey, UK","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070356056","display_name":"Stewart Worrall","orcid":"https://orcid.org/0000-0001-7940-4742"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"S. Worrall","raw_affiliation_strings":["Centre for Communication Systems Research, University of Surrey, Surrey, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Communication Systems Research, University of Surrey, Surrey, UK","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113663928","display_name":"A. M. Kondoz","orcid":null},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"A.M. Kondoz","raw_affiliation_strings":["Centre for Communication Systems Research, University of Surrey, Surrey, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Communication Systems Research, University of Surrey, Surrey, UK","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.485,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.90480479,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2005","issue":null,"first_page":"910","last_page":"914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T11105","display_name":"Advanced Image Processing Techniques","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-vision","display_name":"Computer vision","score":0.8385725021362305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8258386850357056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7882734537124634},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7158563733100891},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7016820907592773},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.5913098454475403},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5329827666282654},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.49349772930145264},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4190179705619812},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4156706929206848},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4105093479156494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.353315532207489}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8385725021362305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8258386850357056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7882734537124634},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7158563733100891},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7016820907592773},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.5913098454475403},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5329827666282654},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.49349772930145264},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4190179705619812},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4156706929206848},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4105093479156494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.353315532207489}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/mmsp.2008.4665204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2008.4665204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 10th Workshop on Multimedia Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.44SUR_INST:11139213950002346","is_oa":false,"landing_page_url":"https://openresearch.surrey.ac.uk/esploro/outputs/conferencePresentation/Automatic-video-object-segmentation-using-depth/99513562602346","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"event"},{"id":"pmh:oai:epubs.surrey.ac.uk:832073","is_oa":false,"landing_page_url":"http://epubs.surrey.ac.uk/832073/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400680","display_name":"Surrey Research Insight Open Access (The University of Surrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28290843","host_organization_name":"University of Surrey","host_organization_lineage":["https://openalex.org/I28290843"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W142290052","https://openalex.org/W147723833","https://openalex.org/W1505020824","https://openalex.org/W1580963329","https://openalex.org/W1934508340","https://openalex.org/W1987437889","https://openalex.org/W2087870953","https://openalex.org/W2089295180","https://openalex.org/W2096732199","https://openalex.org/W2100220302","https://openalex.org/W2130052139","https://openalex.org/W2134731391","https://openalex.org/W2151551593","https://openalex.org/W2160509570","https://openalex.org/W2168646055","https://openalex.org/W2169552481","https://openalex.org/W2537122469","https://openalex.org/W3023411394","https://openalex.org/W6630186934","https://openalex.org/W6634560076"],"related_works":["https://openalex.org/W2387003628","https://openalex.org/W123102278","https://openalex.org/W2081609930","https://openalex.org/W2365596436","https://openalex.org/W163453029","https://openalex.org/W2136363403","https://openalex.org/W2885157826","https://openalex.org/W2159463658","https://openalex.org/W2965594636","https://openalex.org/W4388208420"],"abstract_inverted_index":{"Automatic":[0],"video":[1,43,46,148],"object":[2,47,83,94,100],"segmentation":[3,48],"based":[4,85],"on":[5,86,90],"spatial-temporal":[6],"information":[7,73],"has":[8,130],"been":[9],"a":[10,30,51,54,103],"research":[11],"topic":[12],"for":[13],"many":[14],"years.":[15],"Existing":[16],"approaches":[17],"can":[18],"achieve":[19],"good":[20,131],"results":[21],"in":[22,34,62,74],"some":[23],"cases,":[24],"such":[25],"as":[26],"where":[27],"there":[28],"is":[29,49,60,127,138,149],"simple":[31],"background.":[32],"However,":[33],"the":[35,75,81,142],"case":[36],"of":[37,106,144],"cluttered":[38,135],"backgrounds":[39],"or":[40],"low":[41],"quality":[42,143],"input,":[44],"automatic":[45],"still":[50],"problem":[52,69],"without":[53],"general":[55],"solution.":[56],"A":[57],"novel":[58],"approach":[59,79],"introduced":[61],"this":[63,68,125],"work,":[64],"to":[65],"deal":[66],"with":[67,134],"by":[70,98],"using":[71,102],"depth":[72,87,146],"algorithm.":[76],"The":[77,93,120],"proposed":[78],"obtains":[80],"initial":[82],"masks":[84,101],"map":[88],"and":[89,113,129,147],"motion":[91],"detection.":[92],"boundaries":[95],"are":[96],"obtained":[97],"updating":[99],"simultaneous":[104],"combination":[105],"multiple":[107],"cues,":[108],"including":[109],"spatial":[110],"location,":[111],"intensity,":[112],"edge,":[114],"within":[115],"an":[116],"active":[117],"contour":[118],"model.":[119],"experimental":[121],"result":[122],"shows":[123],"that":[124],"method":[126],"effective":[128],"output,":[132],"even":[133],"backgrounds.":[136],"It":[137],"also":[139],"robust":[140],"when":[141],"input":[145],"low.":[150]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}