{"id":"https://openalex.org/W2155096049","doi":"https://doi.org/10.1109/avss.2011.6027334","title":"Robust adapted object detection under complex environment","display_name":"Robust adapted object detection under complex environment","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2155096049","doi":"https://doi.org/10.1109/avss.2011.6027334","mag":"2155096049"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2011.6027334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2011.6027334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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/A5083085634","display_name":"Xinyue Zhao","orcid":"https://orcid.org/0000-0002-7184-0985"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Xinyue Zhao","raw_affiliation_strings":["Hokkaido University, Japan"],"affiliations":[{"raw_affiliation_string":"Hokkaido University, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043995369","display_name":"Yutaka Satoh","orcid":"https://orcid.org/0000-0002-0638-0855"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaka Satoh","raw_affiliation_strings":["AIST, Japan"],"affiliations":[{"raw_affiliation_string":"AIST, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112245224","display_name":"Hidenori Takauji","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hidenori Takauji","raw_affiliation_strings":["Tsukuba University, Japan"],"affiliations":[{"raw_affiliation_string":"Tsukuba University, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112642606","display_name":"Shun\u2019ichi Kaneko","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shun'Ichi Kaneko","raw_affiliation_strings":["Hokkaido University, Japan"],"affiliations":[{"raw_affiliation_string":"Hokkaido University, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060846465","display_name":"Kenji Iwata","orcid":"https://orcid.org/0000-0001-6609-8221"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Iwata","raw_affiliation_strings":["AIST, Japan"],"affiliations":[{"raw_affiliation_string":"AIST, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011190062","display_name":"Ryushi Ozaki","orcid":"https://orcid.org/0000-0001-7282-7232"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryushi Ozaki","raw_affiliation_strings":["Tsukuba University, Japan"],"affiliations":[{"raw_affiliation_string":"Tsukuba University, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5083085634"],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":0.2576,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61187301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"261","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9941999912261963,"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":0.991599977016449,"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/background-subtraction","display_name":"Background subtraction","score":0.897064208984375},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.8712809085845947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7157230973243713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6636422872543335},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6268940567970276},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5659205913543701},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.562099039554596},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4584895968437195},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.45364096760749817},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.423678994178772},{"id":"https://openalex.org/keywords/judgement","display_name":"Judgement","score":0.413473904132843},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4057793915271759},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2315702736377716},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10465776920318604},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09830835461616516}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.897064208984375},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8712809085845947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7157230973243713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6636422872543335},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6268940567970276},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5659205913543701},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.562099039554596},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4584895968437195},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.45364096760749817},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.423678994178772},{"id":"https://openalex.org/C2776548248","wikidata":"https://www.wikidata.org/wiki/Q12621536","display_name":"Judgement","level":2,"score":0.413473904132843},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4057793915271759},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2315702736377716},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10465776920318604},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09830835461616516},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss.2011.6027334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2011.6027334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6600000262260437,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2096309046","https://openalex.org/W2102625004","https://openalex.org/W2110110767","https://openalex.org/W2111918405","https://openalex.org/W2115213191","https://openalex.org/W2115352131","https://openalex.org/W2118143383","https://openalex.org/W2140235142","https://openalex.org/W2148290050","https://openalex.org/W2166978545","https://openalex.org/W2168898335","https://openalex.org/W2562486544","https://openalex.org/W4285719527","https://openalex.org/W6676851875","https://openalex.org/W6731104953"],"related_works":["https://openalex.org/W2886802431","https://openalex.org/W4388216822","https://openalex.org/W1761762290","https://openalex.org/W2427283480","https://openalex.org/W1987287817","https://openalex.org/W3100796443","https://openalex.org/W2123129869","https://openalex.org/W3094443322","https://openalex.org/W3031536623","https://openalex.org/W4399575711"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,97],"present":[4],"a":[5,38,44,63],"novel":[6],"robust":[7],"technique":[8],"for":[9],"background":[10,45],"subtraction":[11],"in":[12,67,110],"different":[13],"complex":[14],"conditions":[15],"(e.g.":[16],"sudden":[17],"illumination":[18],"changes,":[19],"swaying":[20],"leaves,":[21],"and":[22,132],"camera":[23],"vibrations).":[24],"Unlike":[25],"the":[26,29,53,60,77,87,119,122],"previous":[27],"works,":[28],"proposed":[30,72],"method":[31,73,107],"utilizes":[32],"multiple":[33],"point":[34],"pairs":[35],"that":[36,135],"exhibit":[37],"stable":[39,58],"statistical":[40],"intensity":[41,48,61],"relationship":[42],"as":[43],"model.":[46],"The":[47,113],"difference":[49],"between":[50,83],"pixels":[51,84],"of":[52,62,79,89,121],"pair":[54],"is":[55,139],"much":[56],"more":[57,75],"than":[59,85],"single":[64],"pixel,":[65],"especially":[66],"varying":[68],"environments.":[69],"Furthermore,":[70],"our":[71,106],"focuses":[74],"on":[76,86,124],"history":[78,88],"global":[80],"spatial":[81,95],"correlations":[82],"any":[90],"given":[91],"pixel":[92],"or":[93],"local":[94],"correlations.":[96],"also":[98],"adopt":[99],"an":[100],"adapted":[101],"judgement":[102],"criterion":[103],"to":[104],"ensure":[105],"displays":[108],"well":[109],"real-time":[111],"detection.":[112],"approach":[114],"has":[115],"been":[116],"compared":[117],"with":[118],"state":[120],"art":[123],"videos":[125],"from":[126],"several":[127],"challenging":[128],"datasets":[129],"(PETS,":[130],"Wallflower,":[131],"i-Lids),":[133],"demonstrating":[134],"superior":[136],"object":[137],"detection":[138],"achieved.":[140]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}