{"id":"https://openalex.org/W4311311283","doi":"https://doi.org/10.1109/icecs202256217.2022.9971097","title":"Automatic Detection of People Getting Into a Bus in a SMART Public Transportation System","display_name":"Automatic Detection of People Getting Into a Bus in a SMART Public Transportation System","publication_year":2022,"publication_date":"2022-10-24","ids":{"openalex":"https://openalex.org/W4311311283","doi":"https://doi.org/10.1109/icecs202256217.2022.9971097"},"language":"en","primary_location":{"id":"doi:10.1109/icecs202256217.2022.9971097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs202256217.2022.9971097","pdf_url":null,"source":{"id":"https://openalex.org/S4363607963","display_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","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/A5003880939","display_name":"Roya Alizadeh","orcid":"https://orcid.org/0009-0008-5444-3620"},"institutions":[{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA","FR"],"is_corresponding":true,"raw_author_name":"Roya Alizadeh","raw_affiliation_strings":["Ecole Polytechnique de Montr&#x00E9;al,Department of Electrical and Computer Engineering"],"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique de Montr&#x00E9;al,Department of Electrical and Computer Engineering","institution_ids":["https://openalex.org/I142476485","https://openalex.org/I45683168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038488044","display_name":"Yvon Savaria","orcid":"https://orcid.org/0000-0002-3404-9959"},"institutions":[{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA","FR"],"is_corresponding":false,"raw_author_name":"Yvon Savaria","raw_affiliation_strings":["Ecole Polytechnique de Montr&#x00E9;al,Department of Electrical and Computer Engineering"],"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique de Montr&#x00E9;al,Department of Electrical and Computer Engineering","institution_ids":["https://openalex.org/I142476485","https://openalex.org/I45683168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032479034","display_name":"Chah\u00e9 Nerguizian","orcid":"https://orcid.org/0000-0002-4971-5723"},"institutions":[{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA","FR"],"is_corresponding":false,"raw_author_name":"Chahe Nerguizian","raw_affiliation_strings":["Ecole Polytechnique de Montr&#x00E9;al,Department of Electrical and Computer Engineering"],"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique de Montr&#x00E9;al,Department of Electrical and Computer Engineering","institution_ids":["https://openalex.org/I142476485","https://openalex.org/I45683168"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003880939"],"corresponding_institution_ids":["https://openalex.org/I142476485","https://openalex.org/I45683168"],"apc_list":null,"apc_paid":null,"fwci":1.2918,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80221519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/spectrogram","display_name":"Spectrogram","score":0.9723543524742126},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6790841221809387},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.6648712158203125},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.5934717059135437},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5907907485961914},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5605188608169556},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5158078670501709},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5088844299316406},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5025641918182373},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4914027452468872},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49061647057533264},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43690451979637146},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38582995533943176},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3783622086048126},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.24227041006088257},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.18996548652648926},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.13244900107383728}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.9723543524742126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6790841221809387},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.6648712158203125},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.5934717059135437},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5907907485961914},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5605188608169556},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5158078670501709},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5088844299316406},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5025641918182373},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4914027452468872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49061647057533264},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43690451979637146},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38582995533943176},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3783622086048126},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.24227041006088257},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.18996548652648926},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.13244900107383728},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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":2,"locations":[{"id":"doi:10.1109/icecs202256217.2022.9971097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs202256217.2022.9971097","pdf_url":null,"source":{"id":"https://openalex.org/S4363607963","display_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.polymtl.ca:52225","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/52225/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2089695767","https://openalex.org/W2095396347","https://openalex.org/W2960833983","https://openalex.org/W2980803040","https://openalex.org/W2988023719","https://openalex.org/W3046793738","https://openalex.org/W3159625140","https://openalex.org/W3217357390","https://openalex.org/W4210968171","https://openalex.org/W4211143789","https://openalex.org/W4254564570","https://openalex.org/W6781553434"],"related_works":["https://openalex.org/W2120540196","https://openalex.org/W3095343173","https://openalex.org/W2288135719","https://openalex.org/W2533590149","https://openalex.org/W2381036744","https://openalex.org/W2323749021","https://openalex.org/W2901989338","https://openalex.org/W2909460703","https://openalex.org/W4381416811","https://openalex.org/W1927135183"],"abstract_inverted_index":{"In":[0],"a":[1,15,18,47,57,78,84,91,97,101,112,126],"public":[2],"transportation":[3],"network,":[4],"it":[5,145],"is":[6,54,96],"desirable":[7],"to":[8,40,55,76,83,172,182],"distinguish":[9,77],"people":[10],"who":[11],"are":[12],"getting":[13,45,124],"into":[14,46,125],"bus":[16,19,127],"at":[17],"stop":[20],"from":[21,169,180],"others":[22],"in":[23,28,62,80],"the":[24,42,70,116,121,130,133,138,141,164,176,185],"vicinity.":[25],"Recent":[26],"advances":[27],"machine-learning-based":[29],"data":[30],"processing":[31],"methods":[32],"enable":[33],"an":[34,160],"automatic":[35],"identification":[36],"of":[37,44,51,72,86,88,100,106,123,132,140,157],"human":[38,92,113],"activities":[39],"detect":[41,120],"action":[43,122],"bus.":[48],"The":[49,94,151],"aim":[50],"this":[52],"work":[53],"propose":[56],"method":[58,143],"using":[59],"energy":[60,81],"distribution":[61],"both":[63],"frequency":[64,156],"and":[65,148,179],"time":[66],"estimated":[67],"by":[68,128],"analysing":[69],"spectrogram":[71,95],"WiFi":[73,107],"RF":[74,108],"signals":[75],"change":[79,85],"due":[82],"speed":[87],"motion":[89],"during":[90],"activity.":[93],"heat-map":[98],"visualization":[99],"short-time":[102],"Fourier":[103],"transform":[104],"(STFT)":[105],"signals.":[109],"After":[110],"detecting":[111],"activity":[114],"through":[115],"spectrogram,":[117],"we":[118,136],"automatically":[119],"tracking":[129],"evolution":[131],"spectrogram.":[134],"Then":[135],"evaluate":[137],"performance":[139,168],"proposed":[142],"when":[144],"uses":[146],"1D":[147],"2D":[149],"features.":[150],"results":[152],"show":[153],"that":[154],"adding":[155],"movement":[158],"as":[159],"additional":[161],"feature":[162],"increases":[163],"true":[165],"negative":[166],"classification":[167],"38":[170],"%":[171,174],"95":[173],"for":[175,184],"training":[177],"set":[178],"27%":[181],"91%":[183],"test":[186],"set.":[187]},"counts_by_year":[{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-24T08:23:43.765630","created_date":"2025-10-10T00:00:00"}
