{"id":"https://openalex.org/W2739959530","doi":"https://doi.org/10.1109/sysose.2017.7994968","title":"Pedestrian detection system for smart communities using deep Convolutional Neural Networks","display_name":"Pedestrian detection system for smart communities using deep Convolutional Neural Networks","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2739959530","doi":"https://doi.org/10.1109/sysose.2017.7994968","mag":"2739959530"},"language":"en","primary_location":{"id":"doi:10.1109/sysose.2017.7994968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sysose.2017.7994968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th System of Systems Engineering Conference (SoSE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Pedestrian_detection_system_for_smart_communities_using_deep_Convolutional_Neural_Networks/20595207","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055672869","display_name":"Jonathan Lwowski","orcid":null},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jonathan Lwowski","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008369301","display_name":"Prasanna Kolar","orcid":"https://orcid.org/0000-0001-6834-2208"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prasanna Kolar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089777417","display_name":"Patrick Benavidez","orcid":"https://orcid.org/0000-0001-5544-6489"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick Benavidez","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114027757","display_name":"Paul Rad","orcid":null},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Rad","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090986184","display_name":"John J. Prevost","orcid":"https://orcid.org/0000-0002-2303-599X"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John J. Prevost","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113537394","display_name":"Mo Jamshidi","orcid":null},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mo Jamshidi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5055672869"],"corresponding_institution_ids":["https://openalex.org/I45438204"],"apc_list":null,"apc_paid":null,"fwci":1.756,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.91262394,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991000294685364,"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/pedestrian-detection","display_name":"Pedestrian detection","score":0.8546918034553528},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8058110475540161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7874648571014404},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7569537162780762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7334979176521301},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.6216059327125549},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5726247429847717},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5502163171768188},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5300336480140686},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5070269107818604},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.46593111753463745},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.455191969871521},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45219099521636963},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.32695648074150085},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1008235514163971}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.8546918034553528},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8058110475540161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7874648571014404},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7569537162780762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7334979176521301},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.6216059327125549},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5726247429847717},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5502163171768188},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5300336480140686},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5070269107818604},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.46593111753463745},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.455191969871521},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45219099521636963},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32695648074150085},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1008235514163971},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sysose.2017.7994968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sysose.2017.7994968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th System of Systems Engineering Conference (SoSE)","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/20595207","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Pedestrian_detection_system_for_smart_communities_using_deep_Convolutional_Neural_Networks/20595207","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20595207","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Pedestrian_detection_system_for_smart_communities_using_deep_Convolutional_Neural_Networks/20595207","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310013","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06"},{"id":"https://openalex.org/F4320310587","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1560380655","https://openalex.org/W1568315197","https://openalex.org/W2031454541","https://openalex.org/W2081021369","https://openalex.org/W2096349671","https://openalex.org/W2097324787","https://openalex.org/W2107775979","https://openalex.org/W2125556102","https://openalex.org/W2136724559","https://openalex.org/W2150298366","https://openalex.org/W2153008989","https://openalex.org/W2161969291","https://openalex.org/W2265127172","https://openalex.org/W2585320043","https://openalex.org/W2596004444","https://openalex.org/W3151111735","https://openalex.org/W6683411478","https://openalex.org/W6693705612"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W2911294201","https://openalex.org/W4311401716","https://openalex.org/W2128694549","https://openalex.org/W2606416966","https://openalex.org/W2739959530","https://openalex.org/W4288238763","https://openalex.org/W3015951701","https://openalex.org/W2067373798","https://openalex.org/W2973014961"],"abstract_inverted_index":{"Pedestrian":[0],"recognition":[1,23],"is":[2,29,123],"a":[3,7,27,58,98,118,121,137,147,152],"key":[4],"problem":[5],"for":[6],"number":[8],"of":[9,134,140],"application":[10],"domains":[11],"namely":[12],"autonomous":[13],"driving,":[14],"search":[15],"and":[16,19,61,70],"rescue,":[17],"surveillance":[18],"robotics.":[20],"Real-time":[21],"pedestrian":[22,28,35,53,110,122],"entails":[24],"determining":[25],"if":[26,120],"in":[30],"an":[31,132],"image":[32,82],"frame.":[33],"State-of-art":[34],"detection":[36,49,69,101,111],"convolution":[37,72,85,105],"neural":[38],"networks(CNN)":[39],"such":[40],"as":[41],"Fast":[42],"R-CNN":[43],"depend":[44],"on":[45,124,146],"computationally":[46],"expensive":[47],"region":[48],"algorithms":[50],"to":[51,79,116],"hypothesize":[52],"locations.":[54],"This":[55],"paper":[56],"presents":[57],"simple,":[59],"fast":[60,67,99],"very":[62],"accurate":[63],"approach":[64],"by":[65],"cascading":[66],"regional":[68,100],"deep":[71,104],"networks.":[73],"Convolution":[74],"networks":[75,86,106],"have":[76],"been":[77],"shown":[78],"excel":[80],"at":[81,90],"classification.":[83],"However,":[84],"are":[87],"notoriously":[88],"slow":[89],"inference":[91],"time.":[92],"In":[93],"this":[94],"work,":[95],"we":[96],"introduce":[97],"cascaded":[102],"with":[103,136],"that":[107,112],"enables":[108],"real-time":[109],"could":[113],"be":[114],"used":[115],"alert":[117],"driver":[119],"the":[125],"roadway.":[126],"The":[127],"classification":[128],"CNN":[129],"has":[130],"given":[131],"accuracy":[133],"95.7%,":[135],"processing":[138,154],"rate":[139],"about":[141],"15":[142],"frames":[143],"per":[144],"second":[145],"low":[148],"performance":[149],"system":[150],"without":[151],"graphical":[153],"unit":[155],"(GPU).":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}