{"id":"https://openalex.org/W3206162504","doi":"https://doi.org/10.1109/isc253183.2021.9562804","title":"A Vision-based Framework for Intersection Monitoring and Signal Evaluation","display_name":"A Vision-based Framework for Intersection Monitoring and Signal Evaluation","publication_year":2021,"publication_date":"2021-09-07","ids":{"openalex":"https://openalex.org/W3206162504","doi":"https://doi.org/10.1109/isc253183.2021.9562804","mag":"3206162504"},"language":"en","primary_location":{"id":"doi:10.1109/isc253183.2021.9562804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc253183.2021.9562804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Smart Cities Conference (ISC2)","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/A5109405225","display_name":"Mohammad Shokrolah Shirazi","orcid":"https://orcid.org/0000-0003-1775-0257"},"institutions":[{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammad Shokrolah Shirazi","raw_affiliation_strings":["R.B. Annis School of Engineering, University of Indianapolis, Indianapolis, USA"],"affiliations":[{"raw_affiliation_string":"R.B. Annis School of Engineering, University of Indianapolis, Indianapolis, USA","institution_ids":["https://openalex.org/I135191193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004529123","display_name":"Ahmad Patooghy","orcid":"https://orcid.org/0000-0003-2647-2797"},"institutions":[{"id":"https://openalex.org/I4210152127","display_name":"Conway School of Landscape Design","ror":"https://ror.org/04q7y8a54","country_code":"US","type":"education","lineage":["https://openalex.org/I4210152127"]},{"id":"https://openalex.org/I32038505","display_name":"University of Central Arkansas","ror":"https://ror.org/029bp0k25","country_code":"US","type":"education","lineage":["https://openalex.org/I32038505"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmad Patooghy","raw_affiliation_strings":["Computer Science and Engineering Department, University of Central Arkansas, Conway, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, University of Central Arkansas, Conway, USA","institution_ids":["https://openalex.org/I32038505","https://openalex.org/I4210152127"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109405225"],"corresponding_institution_ids":["https://openalex.org/I135191193"],"apc_list":null,"apc_paid":null,"fwci":0.3843,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61393791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/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":0.9987999796867371,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9959999918937683,"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/computer-science","display_name":"Computer science","score":0.7701205611228943},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.7313908338546753},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.6030899882316589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5556765794754028},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5175213813781738},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5164566040039062},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5005803108215332},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.48535266518592834},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.4795232117176056},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.463363379240036},{"id":"https://openalex.org/keywords/pedestrian-crossing","display_name":"Pedestrian crossing","score":0.45552098751068115},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4552522897720337},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4548746347427368},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.18345171213150024},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15020829439163208},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11270806193351746}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7701205611228943},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.7313908338546753},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.6030899882316589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5556765794754028},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5175213813781738},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5164566040039062},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5005803108215332},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48535266518592834},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.4795232117176056},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.463363379240036},{"id":"https://openalex.org/C2777819797","wikidata":"https://www.wikidata.org/wiki/Q8010","display_name":"Pedestrian crossing","level":3,"score":0.45552098751068115},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4552522897720337},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4548746347427368},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.18345171213150024},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15020829439163208},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11270806193351746},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace 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/isc253183.2021.9562804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc253183.2021.9562804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Smart Cities Conference (ISC2)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1989750313","https://openalex.org/W2000651158","https://openalex.org/W2095537868","https://openalex.org/W2296543371","https://openalex.org/W2516923985","https://openalex.org/W2579911499","https://openalex.org/W2604758524","https://openalex.org/W2792476967","https://openalex.org/W2796347433","https://openalex.org/W2903709398","https://openalex.org/W2907668380","https://openalex.org/W2944848755","https://openalex.org/W3007708545","https://openalex.org/W3018757597","https://openalex.org/W3097161728","https://openalex.org/W4293584584","https://openalex.org/W6732059651","https://openalex.org/W6756777732"],"related_works":["https://openalex.org/W187110833","https://openalex.org/W122740207","https://openalex.org/W4388221821","https://openalex.org/W650967530","https://openalex.org/W4390813505","https://openalex.org/W2164690004","https://openalex.org/W2047776971","https://openalex.org/W1486225309","https://openalex.org/W2094698213","https://openalex.org/W4206403607"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,34,56,122],"typical":[4],"framework":[5],"for":[6,64],"traffic":[7,17,28,40,95,105,123],"measurement":[8,96],"estimation":[9],"at":[10,42],"intersections":[11,85],"which":[12,38,139],"can":[13,117],"assist":[14],"us":[15],"with":[16,55,129],"signals":[18,128],"evaluation":[19,79],"through":[20],"collaboration":[21],"of":[22,71,101],"the":[23,62,102],"computer":[24],"vision":[25],"techniques":[26],"and":[27,66,76,86,94,114,133],"simulators.":[29],"The":[30,46],"proposed":[31,103],"system":[32,63],"is":[33],"deep-visual":[35],"tracking":[36,65],"pipeline":[37],"generates":[39],"measurements":[41,106],"different":[43,84],"time":[44,116],"frames.":[45],"off-the-shelf":[47],"YOLO":[48],"object":[49],"detection":[50,93],"architecture":[51],"variants":[52],"are":[53],"cascaded":[54],"discriminative":[57],"correlation":[58],"filter":[59],"(CSRT)":[60],"within":[61],"producing":[67],"long":[68],"term":[69],"trajectories":[70],"road":[72],"users":[73],"including":[74,107],"vehicles":[75],"pedestrians.":[77],"Experimental":[78],"was":[80],"performed":[81],"on":[82],"three":[83],"YOLOv4":[87],"demonstrated":[88],"better":[89],"performance":[90],"in":[91],"pedestrian":[92],"estimation.":[97],"As":[98],"an":[99,135],"application":[100],"system,":[104],"frame":[108],"level":[109],"count,":[110],"turning":[111],"movement":[112],"counts":[113],"waiting":[115,141],"be":[118],"further":[119],"incorporated":[120],"into":[121],"simulator":[124],"to":[125],"investigate":[126],"intersection":[127],"current":[130],"timer":[131],"settings":[132],"find":[134],"appropriate":[136],"signal":[137],"algorithm":[138],"minimizes":[140],"time.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
