{"id":"https://openalex.org/W2141354157","doi":"https://doi.org/10.1186/1687-5281-2014-12","title":"Shadow extraction and application in pedestrian detection","display_name":"Shadow extraction and application in pedestrian detection","publication_year":2014,"publication_date":"2014-02-24","ids":{"openalex":"https://openalex.org/W2141354157","doi":"https://doi.org/10.1186/1687-5281-2014-12","mag":"2141354157"},"language":"en","primary_location":{"id":"doi:10.1186/1687-5281-2014-12","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2014-12","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2014-12","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2014-12","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036252935","display_name":"Junqiu Wang","orcid":"https://orcid.org/0000-0001-6516-547X"},"institutions":[{"id":"https://openalex.org/I11838497","display_name":"Aviation Industry Corporation of China (China)","ror":"https://ror.org/02wq41p38","country_code":"CN","type":"company","lineage":["https://openalex.org/I11838497"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junqiu Wang","raw_affiliation_strings":["Aviation Industry Cooperation China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aviation Industry Cooperation China, Beijing, China","institution_ids":["https://openalex.org/I11838497"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040773064","display_name":"Yasushi Yagi","orcid":"https://orcid.org/0000-0002-3546-8071"},"institutions":[{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasushi Yagi","raw_affiliation_strings":["The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan","The institute of Scientific and Industrial Research, Osaka University, Ibaraki, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"The institute of Scientific and Industrial Research, Osaka University, Ibaraki, Osaka, Japan","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036252935"],"corresponding_institution_ids":["https://openalex.org/I11838497"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.4852,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71239994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2014","issue":"1","first_page":null,"last_page":null},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9926999807357788,"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":0.8292495012283325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8239997625350952},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8057995438575745},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.7169122099876404},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.6372616291046143},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5661038160324097},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5116174817085266},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.496265709400177},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4796895682811737},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47126317024230957},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.43960168957710266},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4157186448574066},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.31961125135421753}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8292495012283325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8239997625350952},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8057995438575745},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.7169122099876404},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.6372616291046143},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5661038160324097},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5116174817085266},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.496265709400177},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4796895682811737},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47126317024230957},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.43960168957710266},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4157186448574066},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.31961125135421753},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/1687-5281-2014-12","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2014-12","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2014-12","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/1687-5281-2014-12","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2014-12","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2014-12","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2141354157.pdf","grobid_xml":"https://content.openalex.org/works/W2141354157.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1499877760","https://openalex.org/W1595717062","https://openalex.org/W1693345094","https://openalex.org/W1977470347","https://openalex.org/W1992825118","https://openalex.org/W1995444699","https://openalex.org/W2029789112","https://openalex.org/W2031454541","https://openalex.org/W2036267060","https://openalex.org/W2051628951","https://openalex.org/W2052355211","https://openalex.org/W2089181482","https://openalex.org/W2096246546","https://openalex.org/W2098479385","https://openalex.org/W2098677588","https://openalex.org/W2098699644","https://openalex.org/W2109258005","https://openalex.org/W2110110767","https://openalex.org/W2118143383","https://openalex.org/W2122190623","https://openalex.org/W2140317610","https://openalex.org/W2140397967","https://openalex.org/W2143023146","https://openalex.org/W2143373691","https://openalex.org/W2146352414","https://openalex.org/W2147558395","https://openalex.org/W2148442626","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2166623283","https://openalex.org/W2168356304","https://openalex.org/W4240137929"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W1557094818","https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2608226141","https://openalex.org/W2803999577","https://openalex.org/W4301850106","https://openalex.org/W3148636069","https://openalex.org/W2096106048"],"abstract_inverted_index":{"We":[0,85],"find":[1],"shadows":[2,9,32,52,133],"in":[3,35,82,154],"many":[4,155],"images":[5],"and":[6,24,78,93],"videos.":[7],"Traditionally,":[8],"are":[10,33,141],"considered":[11],"as":[12,22],"noises":[13],"because":[14],"they":[15,54],"make":[16,40],"hurdles":[17],"for":[18],"visual":[19],"tasks":[20],"such":[21],"detection":[23,37,42,46,62,103],"tracking.":[25],"In":[26],"this":[27],"work,":[28],"we":[29,74,100],"show":[30,146],"that":[31,147],"helpful":[34],"pedestrian":[36,41],"instead.":[38],"Occlusions":[39],"difficult.":[43],"Existing":[44],"shape-based":[45],"methods":[47,63],"can":[48,134],"have":[49,55],"false-positives":[50,116],"on":[51,106],"since":[53,132],"similar":[56],"shapes":[57],"with":[58,71],"foreground":[59,139],"objects.":[60],"Appearance-based":[61],"cannot":[64],"detect":[65,86],"heavily":[66],"occluded":[67],"pedestrians.":[68],"To":[69],"deal":[70],"these":[72],"problems,":[73],"use":[75],"appearance,":[76],"shadow,":[77],"motion":[79,107],"information":[80,90,95,108],"simultaneously":[81],"our":[83],"method.":[84],"pedestrians":[87,92],"using":[88],"appearance":[89],"of":[91,96,121],"shape":[94],"shadow":[97],"regions.":[98],"Then,":[99],"filter":[101],"the":[102,119,127,148],"results":[104,145],"based":[105],"if":[109],"available.":[110],"The":[111],"proposed":[112,149],"method":[113],"gives":[114],"low":[115],"due":[117],"to":[118],"integration":[120],"different":[122],"features.":[123],"Moreover,":[124],"it":[125],"alleviates":[126],"problem":[128],"brought":[129],"by":[130],"occlusions":[131],"still":[135],"be":[136],"observable":[137],"when":[138],"objects":[140],"occluded.":[142],"Our":[143],"experimental":[144],"algorithm":[150],"provides":[151],"good":[152],"performance":[153],"difficult":[156],"scenarios.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}