{"id":"https://openalex.org/W2980308302","doi":"https://doi.org/10.1145/3357419.3357453","title":"Vehicle Counting Evaluation on Low-resolution Images using Software Tools","display_name":"Vehicle Counting Evaluation on Low-resolution Images using Software Tools","publication_year":2019,"publication_date":"2019-08-23","ids":{"openalex":"https://openalex.org/W2980308302","doi":"https://doi.org/10.1145/3357419.3357453","mag":"2980308302"},"language":"en","primary_location":{"id":"doi:10.1145/3357419.3357453","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357419.3357453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Information Communication and Management","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/A5032489019","display_name":"Benny Hardjono","orcid":"https://orcid.org/0000-0001-7532-3945"},"institutions":[{"id":"https://openalex.org/I102669525","display_name":"Pelita Harapan University","ror":"https://ror.org/02qhjtc16","country_code":"ID","type":"education","lineage":["https://openalex.org/I102669525"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Benny Hardjono","raw_affiliation_strings":["Universitas Pelita Harapan, Tangerang, Indonesia"],"affiliations":[{"raw_affiliation_string":"Universitas Pelita Harapan, Tangerang, Indonesia","institution_ids":["https://openalex.org/I102669525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071158472","display_name":"Mario Gracio Anduinta Rhizma","orcid":null},"institutions":[{"id":"https://openalex.org/I102669525","display_name":"Pelita Harapan University","ror":"https://ror.org/02qhjtc16","country_code":"ID","type":"education","lineage":["https://openalex.org/I102669525"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Mario G. A. Rhizma","raw_affiliation_strings":["Electrical Engineering, Universitas Pelita Harapan, Tangerang, Indonesia"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Universitas Pelita Harapan, Tangerang, Indonesia","institution_ids":["https://openalex.org/I102669525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082010914","display_name":"Andree E. Widjaja","orcid":"https://orcid.org/0000-0002-3112-9662"},"institutions":[{"id":"https://openalex.org/I102669525","display_name":"Pelita Harapan University","ror":"https://ror.org/02qhjtc16","country_code":"ID","type":"education","lineage":["https://openalex.org/I102669525"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Andree E. Widjaja","raw_affiliation_strings":["Universitas Pelita Harapan, Tangerang, Indonesia"],"affiliations":[{"raw_affiliation_string":"Universitas Pelita Harapan, Tangerang, Indonesia","institution_ids":["https://openalex.org/I102669525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075974961","display_name":"Hendra Tjahyadi","orcid":"https://orcid.org/0000-0002-6268-8328"},"institutions":[{"id":"https://openalex.org/I102669525","display_name":"Pelita Harapan University","ror":"https://ror.org/02qhjtc16","country_code":"ID","type":"education","lineage":["https://openalex.org/I102669525"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Hendra Tjahyadi","raw_affiliation_strings":["Universitas Pelita Harapan, Tangerang, Indonesia"],"affiliations":[{"raw_affiliation_string":"Universitas Pelita Harapan, Tangerang, Indonesia","institution_ids":["https://openalex.org/I102669525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079174208","display_name":"Madeleine Jose Josodipuro","orcid":null},"institutions":[{"id":"https://openalex.org/I102669525","display_name":"Pelita Harapan University","ror":"https://ror.org/02qhjtc16","country_code":"ID","type":"education","lineage":["https://openalex.org/I102669525"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Madeleine Jose Josodipuro","raw_affiliation_strings":["Laurentius Dominick Logan, Students of Computer Science, Universitas Pelita Harapan, Tangerang, Indonesia"],"affiliations":[{"raw_affiliation_string":"Laurentius Dominick Logan, Students of Computer Science, Universitas Pelita Harapan, Tangerang, Indonesia","institution_ids":["https://openalex.org/I102669525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032489019"],"corresponding_institution_ids":["https://openalex.org/I102669525"],"apc_list":null,"apc_paid":null,"fwci":0.5044,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69761157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9925000071525574,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9925000071525574,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9891999959945679,"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":0.9818000197410583,"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/background-subtraction","display_name":"Background subtraction","score":0.8135406374931335},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.7594795227050781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7219076752662659},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6556170582771301},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.6157789826393127},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6087053418159485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6086822152137756},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4816097915172577},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.44674456119537354},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4218718409538269},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.37822896242141724},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.34827014803886414},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.25714707374572754},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.11936682462692261},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0737236738204956}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.8135406374931335},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.7594795227050781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7219076752662659},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6556170582771301},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.6157789826393127},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6087053418159485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6086822152137756},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4816097915172577},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.44674456119537354},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4218718409538269},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.37822896242141724},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.34827014803886414},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.25714707374572754},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.11936682462692261},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0737236738204956},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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:10.1145/3357419.3357453","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357419.3357453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Information Communication and Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W629948454","https://openalex.org/W2038436579","https://openalex.org/W2123706197","https://openalex.org/W2139872812","https://openalex.org/W2162341761","https://openalex.org/W2498148408","https://openalex.org/W2554496012","https://openalex.org/W2761909754","https://openalex.org/W2768933976","https://openalex.org/W2771079624","https://openalex.org/W2921271497","https://openalex.org/W2951092176","https://openalex.org/W3105328442","https://openalex.org/W6724186495","https://openalex.org/W6731892127","https://openalex.org/W6786238107","https://openalex.org/W7030179421"],"related_works":["https://openalex.org/W2188430267","https://openalex.org/W2610698896","https://openalex.org/W2369265144","https://openalex.org/W4244119470","https://openalex.org/W28439884","https://openalex.org/W2753866198","https://openalex.org/W2798919479","https://openalex.org/W2977517636","https://openalex.org/W1969179582","https://openalex.org/W2810129309"],"abstract_inverted_index":{"Vehicle":[0],"counting":[1,90,115],"is":[2,36],"an":[3],"important":[4],"parameter":[5],"in":[6],"building":[7],"highway":[8,16],"macroscopic":[9],"model.":[10],"This":[11,54],"model":[12],"ultimately":[13],"will":[14],"help":[15],"designers,":[17],"road":[18],"planners":[19],"and":[20,51,82,112],"even":[21],"common":[22],"commuters,":[23],"since":[24],"it":[25],"can":[26,117,139],"give":[27,88],"short":[28],"term":[29],"predictions":[30],"of":[31,45,70,96,103,137],"the":[32,94,135],"road's":[33],"behaviour":[34],"which":[35,64],"influenced":[37],"for":[38],"example":[39],"by":[40,130],"its":[41],"traffic":[42],"flow,":[43],"number":[44],"lanes,":[46],"as":[47,49,80,108,145,147],"well":[48],"off":[50],"on":[52],"ramps.":[53],"research":[55],"attempts":[56],"to":[57,87,121,144],"count":[58],"vehicles":[59],"from":[60,142],"existing":[61],"video":[62,69],"cameras,":[63],"gives":[65],"low-resolution":[66],"3":[67],"seconds":[68],"1":[71],"frame":[72],"per":[73],"second.":[74],"For":[75],"low-resolution,":[76],"conventional":[77],"methods,":[78],"such":[79,107],"Back-subtraction,":[81],"Viola":[83],"Jones":[84],"are":[85],"unable":[86],"high":[89],"accuracy.":[91,124],"However,":[92],"with":[93],"aid":[95],"another":[97],"custom-made":[98],"software":[99],"tool,":[100],"various":[101],"parameters":[102],"Deep":[104],"Learning":[105],"method,":[106],"pixel-frame":[109],"distance":[110,133],"thresholds,":[111],"two":[113],"different":[114],"models":[116],"be":[118],"run":[119],"repetitively,":[120],"obtain":[122],"better":[123],"Early":[125],"results":[126],"have":[127],"shown":[128],"that":[129],"varying":[131],"pixel":[132],"threshold,":[134],"percentage":[136],"error":[138],"go":[140],"down":[141],"40.8%":[143],"low":[146],"0.8%.":[148]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
