{"id":"https://openalex.org/W1576493749","doi":"https://doi.org/10.1109/icsmc.2003.1243861","title":"Active frame subtraction for pedestrian detection from images of moving camera","display_name":"Active frame subtraction for pedestrian detection from images of moving camera","publication_year":2004,"publication_date":"2004-06-22","ids":{"openalex":"https://openalex.org/W1576493749","doi":"https://doi.org/10.1109/icsmc.2003.1243861","mag":"1576493749"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2003.1243861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1243861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)","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/A5075245593","display_name":"Tomonori Hashiyama","orcid":"https://orcid.org/0000-0001-7218-2999"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"T. Hashiyama","raw_affiliation_strings":["Grad. School of Natural Sciences, University of Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Grad. School of Natural Sciences, University of Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008456599","display_name":"Daisuke Mochizuki","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"D. Mochizuki","raw_affiliation_strings":["Department of Information Electronics, University of Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information Electronics, University of Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114248146","display_name":"Yoshikazu Yano","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Yano","raw_affiliation_strings":["Department of Information Electronics, University of Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information Electronics, University of Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5098282524","display_name":"S. Okurna","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Okurna","raw_affiliation_strings":["Department of Information Electronics, University of Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information Electronics, University of Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075245593"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":1.6398,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.842302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"480","last_page":"485"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.998199999332428,"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":0.9980999827384949,"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/computer-vision","display_name":"Computer vision","score":0.8626183271408081},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.8569160103797913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8271276950836182},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.699737548828125},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.5967209339141846},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.5729703903198242},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5595885515213013},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5141358971595764},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.45286035537719727},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.3827507197856903},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.2739807367324829},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19456428289413452},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15056321024894714},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12418133020401001}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8626183271408081},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.8569160103797913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8271276950836182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.699737548828125},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.5967209339141846},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.5729703903198242},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5595885515213013},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5141358971595764},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.45286035537719727},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.3827507197856903},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2739807367324829},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19456428289413452},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15056321024894714},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12418133020401001},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2003.1243861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1243861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7099999785423279,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1591285480","https://openalex.org/W2067955684","https://openalex.org/W2104671481","https://openalex.org/W2143026545","https://openalex.org/W6635441548"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2188430267","https://openalex.org/W2101960027","https://openalex.org/W2610698896","https://openalex.org/W2369265144","https://openalex.org/W2972620127","https://openalex.org/W2538580916","https://openalex.org/W2981141433","https://openalex.org/W2361251692"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,14,31,42],"method":[4,36],"for":[5,47],"active":[6,21],"background":[7],"subtraction":[8,22],"in":[9],"sequential":[10],"images":[11],"taken":[12],"from":[13],"moving":[15,49],"camera":[16,28],"on":[17],"the":[18,34],"vehicle.":[19],"The":[20],"is":[23],"carried":[24],"out":[25],"by":[26],"estimating":[27],"motion":[29],"using":[30],"gyrosensor.":[32],"Applying":[33],"proposed":[35],"to":[37],"contour":[38],"matching,":[39],"we":[40],"present":[41],"fast":[43],"and":[44],"robust":[45],"system":[46],"detecting":[48],"pedestrians.":[50]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
