{"id":"https://openalex.org/W2127206555","doi":"https://doi.org/10.5244/c.20.42","title":"Local Detection of Occlusion Boundaries in Video","display_name":"Local Detection of Occlusion Boundaries in Video","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2127206555","doi":"https://doi.org/10.5244/c.20.42","mag":"2127206555"},"language":"en","primary_location":{"id":"doi:10.5244/c.20.42","is_oa":false,"landing_page_url":"https://doi.org/10.5244/c.20.42","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedings of the British Machine Vision Conference 2006","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/A5104909478","display_name":"A. N. Stein","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A. N. Stein","raw_affiliation_strings":["The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA"],"affiliations":[{"raw_affiliation_string":"The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009363181","display_name":"M. Hebert","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Hebert","raw_affiliation_strings":["The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA"],"affiliations":[{"raw_affiliation_string":"The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5104909478"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.8967,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86671803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"42.1","last_page":"42.10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9973999857902527,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8272716403007507},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8150383234024048},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6863152384757996},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.6560249924659729},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6185158491134644},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.612815260887146},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5434744954109192},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.52391517162323},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5192725658416748},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5142059326171875},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5131903290748596},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4781642556190491},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4482279121875763},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4213537275791168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3666803240776062},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2562795877456665},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25619739294052124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22885838150978088},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08490639925003052}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8272716403007507},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8150383234024048},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6863152384757996},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.6560249924659729},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6185158491134644},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.612815260887146},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5434744954109192},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.52391517162323},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5192725658416748},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5142059326171875},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5131903290748596},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4781642556190491},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4482279121875763},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4213537275791168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3666803240776062},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2562795877456665},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25619739294052124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22885838150978088},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08490639925003052},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5244/c.20.42","is_oa":false,"landing_page_url":"https://doi.org/10.5244/c.20.42","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedings of the British Machine Vision Conference 2006","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911","https://openalex.org/W2135622761"],"abstract_inverted_index":{"Occlusion":[0],"boundaries":[1],"are":[2],"notoriously":[3],"difficult":[4],"for":[5,32,142],"many":[6],"patch-based":[7],"computer":[8],"vision":[9],"algorithms,":[10],"but":[11],"they":[12],"also":[13],"provide":[14,138],"potentially":[15],"useful":[16],"information":[17,141],"about":[18],"scene":[19],"structure":[20],"and":[21,56,76,89],"shape.":[22],"Using":[23],"short":[24],"video":[25],"clips,":[26],"we":[27,73,92],"present":[28],"a":[29,47,120],"novel":[30],"method":[31],"scoring":[33,117],"the":[34,126],"degree":[35],"to":[36,79,96,137],"which":[37,51],"occlusion":[38,82,98,116],"is":[39,83,135],"visible":[40],"at":[41],"detected":[42,68],"edges.":[43],"We":[44],"first":[45],"utilise":[46],"spatio-temporal":[48],"edge":[49,53,71,103],"detector":[50],"estimates":[52],"strength,":[54],"orientation,":[55],"normal":[57],"motion.":[58],"By":[59],"then":[60],"extracting":[61],"patches":[62],"from":[63,101,125],"either":[64],"side":[65],"of":[66,111],"each":[67],"(possibly":[69],"moving)":[70],"pixel,":[72],"can":[74],"estimate":[75],"compare":[77],"motion":[78,107,122],"determine":[80],"if":[81],"present.":[84],"In":[85,109],"experiments":[86],"on":[87],"synthetic":[88],"natural":[90],"images,":[91],"demonstrate":[93],"our":[94,115],"ability":[95],"differentiate":[97],"boundary":[99],"pixels":[100,104],"simple":[102],"by":[105,144],"using":[106],"information.":[108],"terms":[110],"precision":[112],"versus":[113],"recall,":[114],"metric":[118],"outperforms":[119],"rank-based":[121],"inconsistency":[123],"measure":[124],"literature.":[127],"The":[128],"completely":[129],"local,":[130],"bottom-up":[131],"approach":[132],"described":[133],"here":[134],"intended":[136],"powerful":[139],"low-level":[140],"use":[143],"higher-level":[145],"reasoning":[146],"methods.":[147]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}