{"id":"https://openalex.org/W2129311279","doi":"https://doi.org/10.1117/12.2032482","title":"Object occlusion and object removal detection","display_name":"Object occlusion and object removal detection","publication_year":2013,"publication_date":"2013-07-19","ids":{"openalex":"https://openalex.org/W2129311279","doi":"https://doi.org/10.1117/12.2032482","mag":"2129311279"},"language":"en","primary_location":{"id":"doi:10.1117/12.2032482","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2032482","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5024464664","display_name":"Yung Joon Chai","orcid":null},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Yung Joon Chai","raw_affiliation_strings":["Univ. Tunku Abdul Rahman (Malaysia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Tunku Abdul Rahman (Malaysia)","institution_ids":["https://openalex.org/I931681460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090174516","display_name":"Siak Wang Khor","orcid":null},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Siak Wang Khor","raw_affiliation_strings":["Univ. Tunku Abdul Rahman (Malaysia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Tunku Abdul Rahman (Malaysia)","institution_ids":["https://openalex.org/I931681460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102834674","display_name":"Yong Haur Tay","orcid":"https://orcid.org/0000-0002-9101-7080"},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Yong Haur Tay","raw_affiliation_strings":["Univ. Tunku Abdul Rahman (Malaysia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Tunku Abdul Rahman (Malaysia)","institution_ids":["https://openalex.org/I931681460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I931681460"],"apc_list":null,"apc_paid":null,"fwci":0.6994,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78125348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8878","issue":null,"first_page":"88782F","last_page":"88782F"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973000288009644,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9952999949455261,"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":0.8038970232009888},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7948493957519531},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7339662909507751},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.6908891201019287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6813852787017822},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6292910575866699},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5641931891441345},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.498629093170166},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.4779415428638458},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.46311700344085693},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45031148195266724},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.44266921281814575},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.43801388144493103},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.41088926792144775},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2455974519252777},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.18955639004707336},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.06213951110839844}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8038970232009888},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7948493957519531},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7339662909507751},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.6908891201019287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6813852787017822},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6292910575866699},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5641931891441345},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.498629093170166},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.4779415428638458},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.46311700344085693},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45031148195266724},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.44266921281814575},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.43801388144493103},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.41088926792144775},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2455974519252777},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18955639004707336},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.06213951110839844},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2032482","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2032482","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5600000023841858,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W192403883","https://openalex.org/W2133382307"],"related_works":["https://openalex.org/W3169126738","https://openalex.org/W1994279415","https://openalex.org/W2558559991","https://openalex.org/W1986338341","https://openalex.org/W2545065926","https://openalex.org/W2980082320","https://openalex.org/W2036421992","https://openalex.org/W2131115545","https://openalex.org/W2527644755","https://openalex.org/W4362565474"],"abstract_inverted_index":{"In":[0,51],"general,":[1],"there":[2],"have":[3],"methods":[4],"to":[5],"detect":[6,21,60],"object":[7,15,63,66,90],"removal":[8,39,67],"event,":[9,40],"but":[10],"when":[11],"people":[12],"blocking":[13],"the":[14,22,31,44,49,78,85,89],"an":[16,106],"object,":[17],"it":[18,104],"is":[19,98],"possible":[20],"event":[23,37],"as":[24],"removed.":[25],"Thus,":[26],"if":[27],"we":[28,54],"can":[29,33,42,59,80],"make":[30],"system":[32,97],"classify":[34,62],"between":[35,91],"occlusion":[36,64],"and":[38,46,61,65,71,77,93,103,108],"this":[41,52],"increase":[43],"accuracy":[45],"performance":[47],"of":[48,88],"system.":[50],"paper,":[53],"present":[55],"a":[56],"method":[57],"that":[58],"event.":[68],"The":[69,96],"detection":[70],"classification":[72,79],"uses":[73],"Canny":[74],"edge":[75,86],"detector,":[76],"be":[81],"done":[82],"by":[83],"determining":[84],"similarity":[87],"background":[92],"current":[94],"image.":[95],"tested":[99],"in":[100],"different":[101],"places":[102],"gives":[105],"acceptable":[107],"satisfied":[109],"result.":[110]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
