{"id":"https://openalex.org/W2087941876","doi":"https://doi.org/10.1109/icip.2014.7025224","title":"Foreground object detection in highly dynamic scenes using saliency","display_name":"Foreground object detection in highly dynamic scenes using saliency","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2087941876","doi":"https://doi.org/10.1109/icip.2014.7025224","mag":"2087941876"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025224","doi":"https://doi.org/10.1109/icip.2014.7025224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025224","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5102004603","display_name":"Kai-Hsiang Lin","orcid":"https://orcid.org/0000-0002-1214-8518","observed_orcids":["https://orcid.org/0000-0002-1214-8518"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai-Hsiang Lin","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110620480","display_name":"Pooya Khorrami","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pooya Khorrami","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051919128","display_name":"Jiangping Wang","orcid":"https://orcid.org/0000-0001-5960-1853","observed_orcids":["https://orcid.org/0000-0001-5960-1853"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiangping Wang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004778663","display_name":"Mark Hasegawa\u2010Johnson","orcid":"https://orcid.org/0000-0002-5631-2893","observed_orcids":["https://orcid.org/0000-0002-5631-2893"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark Hasegawa-Johnson","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101457342","display_name":"Thomas S. Huang","orcid":"https://orcid.org/0000-0001-8474-5859","observed_orcids":["https://orcid.org/0000-0001-8474-5859"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas S. Huang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.1751,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.35126582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"1125","last_page":"1129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9351000189781189,"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":0.9351000189781189,"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":0.05810000002384186,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.0013000000035390258,"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/foreground-detection","display_name":"foreground detection","score":0.9779999852180481},{"id":"https://openalex.org/keywords/dynamic-scenes","display_name":"dynamic scenes","score":0.625},{"id":"https://openalex.org/keywords/temporal-saliency","display_name":"temporal saliency","score":0.9309999942779541},{"id":"https://openalex.org/keywords/adaptive-thresholding","display_name":"adaptive thresholding","score":0.8610000014305115}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7884917259216309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.761186957359314},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7062965035438538},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6173844337463379},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6130148768424988},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.583035945892334},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5709149837493896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5452216267585754},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4766417443752289},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4499087929725647},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42987456917762756},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3491538166999817},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2014.7025224","doi":"https://doi.org/10.1109/icip.2014.7025224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025224","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.432.4699","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.432.4699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.isle.illinois.edu/sst/pubs/2014/lin14icip.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332808","display_name":"Smithsonian Tropical Research Institute","ror":"https://ror.org/035jbxr46"},{"id":"https://openalex.org/F4320334952","display_name":"Wageningen University and Research","ror":"https://ror.org/04qw24q55"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1564419782","https://openalex.org/W2033453961","https://openalex.org/W2121274305","https://openalex.org/W2129281431","https://openalex.org/W2130736843","https://openalex.org/W2133059825","https://openalex.org/W2161369719","https://openalex.org/W2161542313","https://openalex.org/W2163352848","https://openalex.org/W2164084182","https://openalex.org/W2169632643","https://openalex.org/W2316304551","https://openalex.org/W4253461361","https://openalex.org/W7093614111"],"related_works":["https://openalex.org/W7104388640","https://openalex.org/W2587923919","https://openalex.org/W2777748314","https://openalex.org/W2987157543","https://openalex.org/W2089673850","https://openalex.org/W2801501042","https://openalex.org/W2082507243","https://openalex.org/W2164720308","https://openalex.org/W4319718044","https://openalex.org/W3148408489"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,29,75,114],"propose":[4],"a":[5,52,109],"novel":[6],"saliency-based":[7],"algorithm":[8,98,122],"to":[9,23,34,60,90],"detect":[10,91],"foreground":[11,77,93],"regions":[12],"in":[13],"highly":[14],"dynamic":[15,103],"scenes.":[16],"We":[17,95],"first":[18],"convert":[19],"input":[20],"video":[21],"frames":[22],"multiple":[24],"patch-based":[25],"feature":[26,39,49],"maps.":[27,79],"Then,":[28],"apply":[30],"temporal":[31,43,63,69],"saliency":[32,70],"analysis":[33],"the":[35,48,62,92,120],"pixels":[36],"of":[37,45,51,72,102],"each":[38,42],"map.":[40],"For":[41],"set":[44],"co-located":[46],"pixels,":[47],"distance":[50],"point":[53],"from":[54],"its":[55],"kthnearest":[56],"neighbor":[57],"is":[58,88],"used":[59],"compute":[61],"saliency.":[64],"By":[65],"computing":[66],"and":[67,108],"combining":[68],"maps":[71],"different":[73],"features,":[74],"obtain":[76],"likelihood":[78],"A":[80],"simple":[81],"segmentation":[82],"method":[83],"based":[84],"on":[85,99],"adaptive":[86],"thresholding":[87],"applied":[89],"objects.":[94],"test":[96],"our":[97],"images":[100],"sequences":[101],"scenes,":[104],"including":[105],"public":[106],"datasets":[107],"new":[110],"challenging":[111],"wildlife":[112],"dataset":[113],"constructed.":[115],"The":[116],"experimental":[117],"results":[118],"demonstrate":[119],"proposed":[121],"achieves":[123],"state-of-the-art":[124],"results.":[125]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}