{"id":"https://openalex.org/W2797063365","doi":null,"title":"An EM based approach for motion segmentation of video sequence","display_name":"An EM based approach for motion segmentation of video sequence","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2797063365","mag":"2797063365"},"language":"en","primary_location":{"id":"pmh:oai:cris.maastrichtuniversity.nl:openaire_cris_publications/bffb46a7-be90-4029-9be5-b009fc9cef0b","doi":null,"is_oa":false,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/bffb46a7-be90-4029-9be5-b009fc9cef0b","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Zhao, W & Roos, N 2016, An EM based approach for motion segmentation of video sequence. in Z Pan & V Skala (eds), International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG). Vaclav Skala Union Agency, Computer Science Research Notes, vol. 2601, pp. 61-69.","raw_type":"info:eu-repo/semantics/publishedVersion"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11025/29532","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101478515","display_name":"Wei Zhao","orcid":"https://orcid.org/0000-0003-2589-2079","observed_orcids":["https://orcid.org/0000-0003-2589-2079"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Zhao","raw_affiliation_strings":["DKE Scientific staff"],"raw_orcid":"https://orcid.org/0000-0003-2589-2079","affiliations":[{"raw_affiliation_string":"DKE Scientific staff","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111483082","display_name":"Nico Roos","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nico Roos","raw_affiliation_strings":["DKE Scientific staff"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DKE Scientific staff","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2231,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55986087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"61","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9945999979972839,"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":0.9945999979972839,"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":0.0010000000474974513,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.0007999999797903001,"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/motion-segmentation","display_name":"motion segmentation","score":0.9819999933242798},{"id":"https://openalex.org/keywords/moving-object-detection","display_name":"moving object detection","score":0.8960000276565552},{"id":"https://openalex.org/keywords/video-sequences","display_name":"video sequences","score":0.8180000185966492},{"id":"https://openalex.org/keywords/expectation-maximization-algorithm","display_name":"expectation-maximization algorithm","score":0.8930000066757202},{"id":"https://openalex.org/keywords/sift-keypoints","display_name":"SIFT keypoints","score":0.9900000095367432},{"id":"https://openalex.org/keywords/feature-point-tracking","display_name":"feature point tracking","score":0.6769999861717224},{"id":"https://openalex.org/keywords/bayesian-updating","display_name":"Bayesian updating","score":0.6819999814033508},{"id":"https://openalex.org/keywords/robot-vision","display_name":"robot vision","score":0.8069999814033508},{"id":"https://openalex.org/keywords/mobile-robots","display_name":"mobile robots","score":0.6159999966621399}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8474962711334229},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.814277172088623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6265383958816528},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6199571490287781},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6042948961257935},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5024988651275635},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49746182560920715},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.4350828230381012},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.43328046798706055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3764704465866089},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29466116428375244},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:cris.maastrichtuniversity.nl:openaire_cris_publications/bffb46a7-be90-4029-9be5-b009fc9cef0b","doi":null,"is_oa":false,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/bffb46a7-be90-4029-9be5-b009fc9cef0b","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Zhao, W & Roos, N 2016, An EM based approach for motion segmentation of video sequence. in Z Pan & V Skala (eds), International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG). Vaclav Skala Union Agency, Computer Science Research Notes, vol. 2601, pp. 61-69.","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:dspace5.zcu.cz:11025/29532","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11025/29532","pdf_url":"http://hdl.handle.net/11025/29532","source":{"id":"https://openalex.org/S4306400586","display_name":"Digital Library (University of West Bohemia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I92715842","host_organization_name":"University of West Bohemia in Pilsen","host_organization_lineage":["https://openalex.org/I92715842"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"konferen\u010dn\u00ed p\u0159\u00edsp\u011bvek"},{"id":"pmh:um:oai:cris.maastrichtuniversity.nl:publications/bffb46a7-be90-4029-9be5-b009fc9cef0b","doi":null,"is_oa":false,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/bffb46a7-be90-4029-9be5-b009fc9cef0b","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), 61 - 69","raw_type":"info:eu-repo/semantics/conferencepaper"},{"id":"mag:2797063365","doi":null,"is_oa":false,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/an-em-based-approach-for-motion-segmentation-of-video-sequence","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:dspace5.zcu.cz:11025/29532","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11025/29532","pdf_url":"http://hdl.handle.net/11025/29532","source":{"id":"https://openalex.org/S4306400586","display_name":"Digital Library (University of West Bohemia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I92715842","host_organization_name":"University of West Bohemia in Pilsen","host_organization_lineage":["https://openalex.org/I92715842"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"konferen\u010dn\u00ed p\u0159\u00edsp\u011bvek"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2797063365.pdf","grobid_xml":"https://content.openalex.org/works/W2797063365.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1950520880","https://openalex.org/W1950703464","https://openalex.org/W1993962865","https://openalex.org/W2049633694","https://openalex.org/W2065943074","https://openalex.org/W2073849744","https://openalex.org/W2085261163","https://openalex.org/W2101290767","https://openalex.org/W2115763357","https://openalex.org/W2124386111","https://openalex.org/W2130260536","https://openalex.org/W2142912032","https://openalex.org/W2151103935","https://openalex.org/W2153383835","https://openalex.org/W2154422044","https://openalex.org/W2156257540","https://openalex.org/W2168356304","https://openalex.org/W2184962292","https://openalex.org/W2344883024"],"related_works":["https://openalex.org/W2344883024","https://openalex.org/W2006868018","https://openalex.org/W2087947388","https://openalex.org/W18558538","https://openalex.org/W2902444409","https://openalex.org/W2228442254","https://openalex.org/W1927575031","https://openalex.org/W7061727069","https://openalex.org/W1740135447","https://openalex.org/W2235559271"],"abstract_inverted_index":{"Motions":[0],"are":[1,39,65],"important":[2],"features":[3],"for":[4,30],"robot":[5],"vision":[6,23],"as":[7,41],"we":[8],"live":[9],"in":[10],"a":[11,53],"dynamic":[12],"world.":[13],"Detecting":[14],"moving":[15],"objects":[16,34],"is":[17,76,84],"crucial\\nfor":[18],"mobile":[19],"robots":[20],"and":[21,93],"computer":[22],"systems.":[24],"This":[25],"paper":[26],"investigates":[27],"an":[28],"architecture":[29],"the":[31,49,57,79,91,94],"segmentation":[32,68,82],"of\\nmoving":[33],"from":[35],"image":[36],"sequences.":[37],"Objects":[38],"represented":[40],"groups":[42],"of":[43,55,59,69,71,74,90],"SIFT":[44],"feature":[45,50,60],"points.":[46],"Instead":[47],"of\\ntracking":[48],"points":[51,61],"over":[52,87],"sequence":[54,92],"frames,":[56],"movements":[58],"between":[62],"two":[63],"successive\\nframes":[64],"used.":[66],"The":[67,81],"motions":[70],"each":[72],"pair":[73],"frames":[75,89],"based":[77],"on":[78],"expectation-maximization\\nalgorithm.":[80],"algorithm":[83],"iteratively":[85],"applied":[86],"all":[88],"results":[95],"are\\ncombined":[96],"using":[97],"Bayesian":[98],"update.":[99]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2018-04-24T00:00:00"}