{"id":"https://openalex.org/W2786685435","doi":"https://doi.org/10.1109/cis.2017.00099","title":"Pedestrian Detection Method Based on Faster R-CNN","display_name":"Pedestrian Detection Method Based on Faster R-CNN","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2786685435","doi":"https://doi.org/10.1109/cis.2017.00099","mag":"2786685435"},"language":"en","primary_location":{"id":"doi:10.1109/cis.2017.00099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cis.2017.00099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Computational Intelligence and Security (CIS)","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/A5100323420","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0002-1803-3148"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["Smart City College, Beijing Union University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Smart City College, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101793943","display_name":"Yu Du","orcid":"https://orcid.org/0000-0002-0545-9510"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Du","raw_affiliation_strings":["Smart City College, Beijing Union University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Smart City College, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027464918","display_name":"Shurong Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shurong Ning","raw_affiliation_strings":["Smart City College, Beijing Union University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Smart City College, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100615108","display_name":"Yonghua Zhang","orcid":"https://orcid.org/0000-0002-6018-0379"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghua Zhang","raw_affiliation_strings":["College of Robotics, Beijing Union University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Robotics, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024439289","display_name":"Shuo Yang","orcid":"https://orcid.org/0000-0001-8587-0045"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Yang","raw_affiliation_strings":["Smart City College, Beijing Union University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Smart City College, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111300870","display_name":"Chen Du","orcid":null},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Du","raw_affiliation_strings":["Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100323420"],"corresponding_institution_ids":["https://openalex.org/I114234892"],"apc_list":null,"apc_paid":null,"fwci":1.0923,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.86636221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"427","last_page":"430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9977999925613403,"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/pedestrian-detection","display_name":"Pedestrian detection","score":0.9059547185897827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8067339658737183},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.803466260433197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7328346371650696},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7307295799255371},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6326937675476074},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5796464681625366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4886913597583771},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.43803125619888306},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42778280377388},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0751669704914093}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.9059547185897827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8067339658737183},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.803466260433197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7328346371650696},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7307295799255371},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6326937675476074},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5796464681625366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4886913597583771},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.43803125619888306},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42778280377388},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0751669704914093},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cis.2017.00099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cis.2017.00099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Computational Intelligence and Security (CIS)","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":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1849277567","https://openalex.org/W2006244290","https://openalex.org/W2102605133","https://openalex.org/W2140683812","https://openalex.org/W2161969291","https://openalex.org/W2385649657","https://openalex.org/W2588319624","https://openalex.org/W2951638509","https://openalex.org/W2952186574","https://openalex.org/W6733998948"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2802018156","https://openalex.org/W2101531944","https://openalex.org/W4313315626","https://openalex.org/W2969228573","https://openalex.org/W2963690996","https://openalex.org/W2922437833","https://openalex.org/W4312696271","https://openalex.org/W4223892596"],"abstract_inverted_index":{"Pedestrian":[0],"detection":[1,29,48,107,127],"based":[2,128],"on":[3,129],"computer":[4],"vision":[5],"is":[6,14,49,69,102],"an":[7],"important":[8],"branch":[9],"of":[10,35,38,125,136],"object":[11],"recognition,":[12],"which":[13,53,132],"applied":[15],"to":[16,87],"intelligent":[17,19],"monitoring,":[18],"driving,":[20],"robot":[21],"and":[22,44,104],"so":[23],"on.":[24],"At":[25],"present,":[26],"many":[27],"pedestrian":[28,41,45,47,126],"methods":[30],"are":[31],"proposed.":[32],"However,":[33],"because":[34],"the":[36,39,61,100,110,115,123,134],"complexity":[37],"background,":[40],"posture":[42],"diversity":[43],"occlusions,":[46],"still":[50],"a":[51,83],"challenge":[52],"calls":[54],"for":[55],"precise":[56],"algorithms.":[57,143],"In":[58],"this":[59],"paper,":[60],"fast":[62],"Region-based":[63],"Convolutional":[64],"Neural":[65],"Network":[66,86],"(Faster":[67],"R-CNN)":[68],"used.":[70],"Firstly,":[71],"image":[72],"features":[73],"were":[74],"extracted":[75],"by":[76,106],"CNN.":[77],"After":[78],"that,":[79],"we":[80],"built":[81],"up":[82],"Region":[84],"Proposal":[85],"extract":[88],"regions":[89],"that":[90,122],"might":[91],"contain":[92],"pedestrians":[93],"combined":[94],"with":[95,141],"K-means":[96],"cluster":[97],"analysis.":[98],"And":[99],"region":[101],"identified":[103],"classified":[105],"network.":[108],"Finally,":[109],"method":[111,124],"was":[112],"tested":[113],"in":[114],"INRIA":[116],"data":[117],"set.":[118],"The":[119],"results":[120],"show":[121],"Faster":[130],"R-CNN,":[131],"achieves":[133],"accuracy":[135],"92.7%,":[137],"performs":[138],"better,":[139],"compared":[140],"other":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}