{"id":"https://openalex.org/W4320029434","doi":"https://doi.org/10.1109/globecom48099.2022.10000957","title":"Real-Time Jaywalking Detection and Notification System using Deep Learning and Multi-Object Tracking","display_name":"Real-Time Jaywalking Detection and Notification System using Deep Learning and Multi-Object Tracking","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4320029434","doi":"https://doi.org/10.1109/globecom48099.2022.10000957"},"language":"en","primary_location":{"id":"doi:10.1109/globecom48099.2022.10000957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10000957","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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/A5083661869","display_name":"Sifatul Mostafi","orcid":"https://orcid.org/0000-0002-2794-9035"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sifatul Mostafi","raw_affiliation_strings":["Ontario Tech University,Electrical Computer &#x0026; Software Engineering,Oshawa,ON,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ontario Tech University,Electrical Computer &#x0026; Software Engineering,Oshawa,ON,Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040916518","display_name":"Weimin Zhao","orcid":"https://orcid.org/0000-0002-6664-5632"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Weimin Zhao","raw_affiliation_strings":["Ontario Tech University,Electrical Computer &#x0026; Software Engineering,Oshawa,ON,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ontario Tech University,Electrical Computer &#x0026; Software Engineering,Oshawa,ON,Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044037144","display_name":"Sittichai Sukreep","orcid":null},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sittichai Sukreep","raw_affiliation_strings":["Ontario Tech University,Electrical Computer &#x0026; Software Engineering,Oshawa,ON,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ontario Tech University,Electrical Computer &#x0026; Software Engineering,Oshawa,ON,Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026935022","display_name":"Khalid Elgazzar","orcid":"https://orcid.org/0000-0002-5892-632X"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Khalid Elgazzar","raw_affiliation_strings":["Ontario Tech University,Electrical Computer &#x0026; Software Engineering,Oshawa,ON,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ontario Tech University,Electrical Computer &#x0026; Software Engineering,Oshawa,ON,Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053938324","display_name":"Akramul Azim","orcid":"https://orcid.org/0000-0002-6292-6939"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Akramul Azim","raw_affiliation_strings":["Ontario Tech University,Electrical Computer &#x0026; Software Engineering,Oshawa,ON,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ontario Tech University,Electrical Computer &#x0026; Software Engineering,Oshawa,ON,Canada","institution_ids":["https://openalex.org/I39470171"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39470171"],"apc_list":null,"apc_paid":null,"fwci":0.295,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65365507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1164","last_page":"1168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"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":0.9993000030517578,"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/T10370","display_name":"Traffic and Road Safety","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.8140612840652466},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7041726112365723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6987118124961853},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6691213846206665},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6064702272415161},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5522329211235046},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5269259214401245},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5161322355270386},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4847985804080963},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4844203293323517},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.459644079208374},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.43602603673934937},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.41803669929504395},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4162313640117645},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.41036486625671387},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1589663028717041},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.1178402304649353}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8140612840652466},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7041726112365723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6987118124961853},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6691213846206665},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6064702272415161},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5522329211235046},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5269259214401245},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5161322355270386},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4847985804080963},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4844203293323517},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.459644079208374},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.43602603673934937},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.41803669929504395},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4162313640117645},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.41036486625671387},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1589663028717041},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.1178402304649353},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom48099.2022.10000957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10000957","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2137355359","https://openalex.org/W2252355370","https://openalex.org/W2603203130","https://openalex.org/W2963037989","https://openalex.org/W3004767471","https://openalex.org/W3011541886","https://openalex.org/W3018757597","https://openalex.org/W3022982754","https://openalex.org/W3036027847","https://openalex.org/W3104218139","https://openalex.org/W3127247621","https://openalex.org/W3198794139","https://openalex.org/W6658740225"],"related_works":["https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W4254103348","https://openalex.org/W3210378990","https://openalex.org/W3034745255","https://openalex.org/W2318603563","https://openalex.org/W2965594636","https://openalex.org/W887692824","https://openalex.org/W2164674712"],"abstract_inverted_index":{"Jaywalking":[0],"refers":[1],"to":[2,14,17,47,65,160,182],"pedestrians":[3],"walking":[4],"or":[5],"crossing":[6],"in":[7,118,185],"a":[8,22,30,90,104,148],"roadway":[9],"that":[10,28,114,167],"is":[11],"not":[12],"dedicated":[13],"pedestrians.":[15],"Due":[16],"illegal":[18],"jaywalking,":[19],"every":[20],"year":[21],"lot":[23],"of":[24,33,158],"accidents":[25],"happen":[26],"worldwide":[27],"cause":[29],"significant":[31],"amount":[32],"death":[34],"and":[35,42,52,79,87,94,112,131,141,178],"other":[36],"physical":[37],"injuries.":[38],"Real-time":[39],"jaywalking":[40,67,110,174],"detection":[41,111,140],"notification":[43,97,113,145],"systems":[44],"can":[45,115,171],"contribute":[46],"protecting":[48],"vulnerable":[49],"road":[50,54,92,120],"users":[51],"increasing":[53],"safety.":[55],"Many":[56],"computer":[57],"vision-based":[58],"image":[59],"processing":[60],"techniques":[61,84],"have":[62,95],"been":[63],"proposed":[64,169],"detect":[66,173],"including":[68],"deep":[69,127],"learning,":[70],"motion":[71,74],"path":[72],"analysis,":[73],"object":[75,139],"segmentation,":[76],"trajectory":[77],"forecasting":[78],"position":[80],"localization.":[81],"However,":[82],"these":[83],"are":[85],"designed":[86],"evaluated":[88],"for":[89,109,137],"single":[91],"area":[93],"limited":[96],"capability.":[98],"In":[99],"this":[100],"paper,":[101],"we":[102],"propose":[103],"real-time":[105,138],"multi-object":[106,133],"tracking":[107,134],"approach":[108,170],"be":[116],"applied":[117],"multiple":[119],"areas":[121],"simultaneously.":[122],"We":[123],"use":[124],"the":[125,132,156,161],"state-of-the-art":[126],"learning":[128],"model":[129],"YOLOv4":[130],"algorithm":[135,153],"DeepSORT":[136],"tracking,":[142],"respectively.":[143],"The":[144],"component":[146],"incorporates":[147],"novel":[149],"vehicle-region":[150],"pair":[151],"matching":[152],"based":[154],"on":[155],"proximity":[157],"vehicles":[159,184],"monitored":[162],"region.":[163],"Performance":[164],"evaluation":[165],"shows":[166],"our":[168],"effectively":[172],"with":[175],"100%":[176],"accuracy":[177],"provide":[179],"push":[180],"notifications":[181],"nearby":[183],"real-time.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
