乐胖代购免代理版

{"id":"https://openalex.org/W2151454023","doi":"https://doi.org/10.1109/cvpr.2013.414","title":"Modeling Mutual Visibility Relationship in Pedestrian Detection","display_name":"Modeling Mutual Visibility Relationship in Pedestrian Detection","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2151454023","doi":"https://doi.org/10.1109/cvpr.2013.414","mag":"2151454023"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2013.414","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://mmlab.ie.cuhk.edu.hk/projects/ouyangZWcvpr13MutVisibility/material/ouyangZWcvpr13.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087818121","display_name":"Wanli Ouyang","orcid":"https://orcid.org/0000-0002-9163-2761"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanli Ouyang","raw_affiliation_strings":["Shenzhen key Lab. of Comp. Vis. & Pat. Rec., Shenzhen Inst. of Adv. Technol., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen key Lab. of Comp. Vis. & Pat. Rec., Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060379760","display_name":"Xingyu Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Zeng","raw_affiliation_strings":["Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100444820","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-7929-5889"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaogang Wang","raw_affiliation_strings":["Shenzhen key Lab. of Comp. Vis. & Pat. Rec., Shenzhen Inst. of Adv. Technol., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen key Lab. of Comp. Vis. & Pat. Rec., Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.982,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":129,"citation_normalized_percentile":{"value":0.999849,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3222","last_page":"3229"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9999,"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":0.9999,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9983,"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/visibility","display_name":"Visibility","score":0.961828},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.7002104},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.65292615}],"concepts":[{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.961828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78393775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.74453664},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7274087},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.7002104},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.65292615},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6416127},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4760713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39051715},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.121288896},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.076532364},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.065212786},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2013.414","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.681.3770","pdf_url":"http://mmlab.ie.cuhk.edu.hk/projects/ouyangZWcvpr13MutVisibility/material/ouyangZWcvpr13.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.681.3770","pdf_url":"http://mmlab.ie.cuhk.edu.hk/projects/ouyangZWcvpr13MutVisibility/material/ouyangZWcvpr13.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.61,"display_name":"Sustainable cities and communities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":42,"referenced_works":["https://openalex.org/W1522947131","https://openalex.org/W1560380655","https://openalex.org/W1950935069","https://openalex.org/W1973109943","https://openalex.org/W1980163762","https://openalex.org/W1986905809","https://openalex.org/W1994529670","https://openalex.org/W1995997122","https://openalex.org/W1999853363","https://openalex.org/W2024665880","https://openalex.org/W2028742349","https://openalex.org/W2031454541","https://openalex.org/W2046589395","https://openalex.org/W2072128103","https://openalex.org/W2077513643","https://openalex.org/W2083342768","https://openalex.org/W2092919213","https://openalex.org/W2096349671","https://openalex.org/W2097324787","https://openalex.org/W2098699644","https://openalex.org/W2100495367","https://openalex.org/W2108598243","https://openalex.org/W2116064496","https://openalex.org/W2118061983","https://openalex.org/W2130325614","https://openalex.org/W2136922672","https://openalex.org/W2138857742","https://openalex.org/W2141357020","https://openalex.org/W2142037471","https://openalex.org/W2150385913","https://openalex.org/W2152945944","https://openalex.org/W2161969291","https://openalex.org/W2162846286","https://openalex.org/W2163605009","https://openalex.org/W2165720259","https://openalex.org/W2167765625","https://openalex.org/W2168356304","https://openalex.org/W2294734639","https://openalex.org/W2546302380","https://openalex.org/W2548197316","https://openalex.org/W2606321545","https://openalex.org/W4231109964"],"related_works":["https://openalex.org/W598185802","https://openalex.org/W4200176076","https://openalex.org/W2981141433","https://openalex.org/W2972620127","https://openalex.org/W2512789322","https://openalex.org/W2392812199","https://openalex.org/W2392100589","https://openalex.org/W2361471170","https://openalex.org/W2355516524","https://openalex.org/W2025616642"],"abstract_inverted_index":{"Detecting":[0],"pedestrians":[1,18,35,79],"in":[2,9,20],"cluttered":[3],"scenes":[4],"is":[5,14,80],"a":[6,61],"challenging":[7],"problem":[8],"computer":[10],"vision.":[11],"The":[12,75],"difficulty":[13],"added":[15],"when":[16],"several":[17],"overlap":[19],"images":[21],"and":[22,127],"occlude":[23],"each":[24],"other.":[25],"We":[26],"observe,":[27],"however,":[28],"that":[29,66,93],"the":[30,44,51,69,83,94,101,115,121,124,128],"occlusion/visibility":[31],"statuses":[32,71],"of":[33,47,54,72],"overlapping":[34,73],"provide":[36],"useful":[37],"mutual":[38,62,95,132],"relationship":[39,77],"for":[40,86],"visibility":[41,45,52,63,70,76,96,133],"estimation":[42,46,53],"-":[43,137],"one":[48],"pedestrian":[49,102,109],"facilitates":[50],"another.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59],"propose":[60],"deep":[64,84,97],"model":[65,85,98],"jointly":[67],"estimates":[68],"pedestrians.":[74,89],"among":[78],"learned":[81],"from":[82],"recognizing":[87],"co-existing":[88],"Experimental":[90],"results":[91],"show":[92],"effectively":[99],"improves":[100],"detection":[103,110],"results.":[104],"Compared":[105],"with":[106],"existing":[107],"image-based":[108],"approaches,":[111],"our":[112],"approach":[113],"has":[114],"lowest":[116],"average":[117],"miss":[118],"rate":[119],"on":[120,140],"Caltech-Train":[122],"dataset,":[123],"Caltech-Test":[125],"dataset":[126],"ETH":[129],"dataset.":[130],"Including":[131],"leads":[134],"to":[135],"4%":[136],"8%":[138],"improvements":[139],"multiple":[141],"benchmark":[142],"datasets.":[143]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2151454023","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":22},{"year":2016,"cited_by_count":20},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":3}],"updated_date":"2024-12-06T02:02:32.771359","created_date":"2016-06-24"}