{"id":"https://openalex.org/W2062983704","doi":"https://doi.org/10.1109/icves.2013.6619607","title":"Part-based pedestrian detection using grammar model and ABM-HoG features","display_name":"Part-based pedestrian detection using grammar model and ABM-HoG features","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2062983704","doi":"https://doi.org/10.1109/icves.2013.6619607","mag":"2062983704"},"language":"en","primary_location":{"id":"doi:10.1109/icves.2013.6619607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2013.6619607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2013 IEEE International Conference on Vehicular Electronics and Safety","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100772206","display_name":"Bo Li","orcid":"https://orcid.org/0000-0002-1431-0793"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["The State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences, Beijing, China","State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]},{"raw_affiliation_string":"State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339214","display_name":"Ye Li","orcid":"https://orcid.org/0000-0002-2699-6630"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Li","raw_affiliation_strings":["The State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences, Beijing, China","State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]},{"raw_affiliation_string":"State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112113074","display_name":"Bin Tian","orcid":"https://orcid.org/0000-0003-1050-1282"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Tian","raw_affiliation_strings":["The State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences, Beijing, China","State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]},{"raw_affiliation_string":"State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042359485","display_name":"Fenghua Zhu","orcid":"https://orcid.org/0000-0003-2886-6968"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fenghua Zhu","raw_affiliation_strings":["The State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences, Beijing, China","State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]},{"raw_affiliation_string":"State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088979194","display_name":"Gang Xiong","orcid":"https://orcid.org/0000-0002-4303-5559"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Xiong","raw_affiliation_strings":["Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN","State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029944675","display_name":"Kunfeng Wang","orcid":"https://orcid.org/0000-0003-2744-1191"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunfeng Wang","raw_affiliation_strings":["Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN","State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9986000061035156,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7542775869369507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6775783896446228},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.661470890045166},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5989872217178345},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5901678204536438},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5734806060791016},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.5099557638168335},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.5030977129936218},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5017492771148682},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46106845140457153},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4575658440589905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4527395963668823},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44395753741264343},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4320893883705139},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.42924898862838745},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41425609588623047},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.41171085834503174},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.37184739112854004},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12760812044143677},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09870898723602295},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08857548236846924}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7542775869369507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6775783896446228},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.661470890045166},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5989872217178345},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5901678204536438},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5734806060791016},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.5099557638168335},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.5030977129936218},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5017492771148682},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46106845140457153},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4575658440589905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4527395963668823},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44395753741264343},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4320893883705139},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.42924898862838745},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41425609588623047},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.41171085834503174},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.37184739112854004},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12760812044143677},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09870898723602295},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08857548236846924},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icves.2013.6619607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2013.6619607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2013 IEEE International Conference on Vehicular Electronics and Safety","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7200000286102295}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1864464506","https://openalex.org/W1965865731","https://openalex.org/W1992825118","https://openalex.org/W1993149133","https://openalex.org/W1999853363","https://openalex.org/W2031454541","https://openalex.org/W2079930597","https://openalex.org/W2084106378","https://openalex.org/W2092919213","https://openalex.org/W2099972257","https://openalex.org/W2121955477","https://openalex.org/W2125952247","https://openalex.org/W2133747588","https://openalex.org/W2138302688","https://openalex.org/W2159386181","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W2169671170","https://openalex.org/W2548197316","https://openalex.org/W4205969993","https://openalex.org/W6639328394"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W2197846993","https://openalex.org/W49697837","https://openalex.org/W2586575957","https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W1992295166","https://openalex.org/W2143508933"],"abstract_inverted_index":{"To":[0],"handle":[1],"the":[2,35,47,54,66,80,113,124,132,141],"pedestrian":[3,16,69,125,143],"appearance":[4,67,77,136],"and":[5,43],"pose":[6],"variations":[7],"in":[8,24,71,149],"complex":[9,150],"traffic":[10,151],"environments,":[11],"we":[12,130],"present":[13],"one":[14],"part-based":[15],"detection":[17,50,126,144],"approach":[18,148],"using":[19],"a":[20,60,72,93],"stochastic":[21],"grammar":[22],"model":[23,30,65,78],"this":[25],"paper.":[26],"The":[27],"And-Or":[28],"graph":[29],"is":[31,51,59,92,117],"introduced":[32],"to":[33,122],"represent":[34],"human":[36,55],"body":[37],"as":[38,138,140],"an":[39],"assembly":[40],"of":[41,49,68,82,100,134,146],"compositional":[42],"reconfigurable":[44],"parts.":[45],"Thus,":[46],"task":[48],"converted":[52],"into":[53],"parsing":[56,115],"problem,":[57],"which":[58,91],"Bayesian":[61],"inference":[62,116],"process.":[63],"We":[64],"parts":[70,106],"rich":[73],"feature":[74],"representation.":[75],"This":[76],"enhances":[79],"Histogram":[81],"Gradients":[83],"(HoG)":[84],"map":[85],"with":[86],"Active":[87],"Basis":[88],"Model":[89],"(ABM),":[90],"sparse":[94],"deformable":[95],"template":[96],"depicting":[97],"salient":[98],"structures":[99],"objects.":[101],"Then,":[102],"geometry":[103],"constraints":[104],"among":[105],"are":[107],"described":[108],"by":[109,119],"Gaussian":[110],"distributions.":[111],"Finally,":[112],"bottom-up":[114],"conducted":[118],"aggregating":[120],"scores":[121],"get":[123],"responses.":[127],"In":[128],"experiments,":[129],"show":[131],"superiority":[133],"our":[135,147],"model,":[137],"well":[139],"reliable":[142],"results":[145],"scenes.":[152]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
