{"id":"https://openalex.org/W4292862752","doi":"https://doi.org/10.1109/mwscas54063.2022.9859538","title":"Real-Time Traffic Counting on Resource Constrained Embedded Systems","display_name":"Real-Time Traffic Counting on Resource Constrained Embedded Systems","publication_year":2022,"publication_date":"2022-08-07","ids":{"openalex":"https://openalex.org/W4292862752","doi":"https://doi.org/10.1109/mwscas54063.2022.9859538"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas54063.2022.9859538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas54063.2022.9859538","pdf_url":null,"source":{"id":"https://openalex.org/S4363606568","display_name":"2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS)","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 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5050470028","display_name":"Kevin Kollek","orcid":null},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kevin Kollek","raw_affiliation_strings":["University of Wuppertal,School of Electrical, Information and Media Engineering,Wuppertal,Germany,42119"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wuppertal,School of Electrical, Information and Media Engineering,Wuppertal,Germany,42119","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028194191","display_name":"Marco Braun","orcid":"https://orcid.org/0000-0001-6474-3215"},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marco Braun","raw_affiliation_strings":["University of Wuppertal,School of Electrical, Information and Media Engineering,Wuppertal,Germany,42119"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wuppertal,School of Electrical, Information and Media Engineering,Wuppertal,Germany,42119","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026713414","display_name":"Jan-Hendrik Meusener","orcid":null},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jan-Hendrik Meusener","raw_affiliation_strings":["University of Wuppertal,School of Electrical, Information and Media Engineering,Wuppertal,Germany,42119"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wuppertal,School of Electrical, Information and Media Engineering,Wuppertal,Germany,42119","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080666933","display_name":"Anton Kummert","orcid":"https://orcid.org/0000-0002-0282-5087"},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anton Kummert","raw_affiliation_strings":["University of Wuppertal,School of Electrical, Information and Media Engineering,Wuppertal,Germany,42119"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wuppertal,School of Electrical, Information and Media Engineering,Wuppertal,Germany,42119","institution_ids":["https://openalex.org/I167360494"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I167360494"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9976000189781189,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9973999857902527,"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":0.7672115564346313},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6691936254501343},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5888041257858276},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5591130256652832},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5453656315803528},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5251450538635254},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5138102173805237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4806757867336273},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4434165954589844},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4350540041923523},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39297887682914734},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.30955076217651367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.20031848549842834},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10695827007293701}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7672115564346313},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6691936254501343},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5888041257858276},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5591130256652832},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5453656315803528},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5251450538635254},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5138102173805237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4806757867336273},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4434165954589844},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4350540041923523},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39297887682914734},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.30955076217651367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.20031848549842834},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10695827007293701},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwscas54063.2022.9859538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas54063.2022.9859538","pdf_url":null,"source":{"id":"https://openalex.org/S4363606568","display_name":"2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS)","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 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1482705215","https://openalex.org/W2105934661","https://openalex.org/W2603203130","https://openalex.org/W2609166398","https://openalex.org/W2887374115","https://openalex.org/W2943646482","https://openalex.org/W2996409713","https://openalex.org/W3012466933","https://openalex.org/W6628660302","https://openalex.org/W6771784742"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W4386083130","https://openalex.org/W2023355163","https://openalex.org/W2117442182","https://openalex.org/W3111737715","https://openalex.org/W2069571255","https://openalex.org/W2081707527","https://openalex.org/W2971088694","https://openalex.org/W2965594636","https://openalex.org/W2912550626"],"abstract_inverted_index":{"Real-time":[0],"traffic":[1,11,18,36],"monitoring":[2,37],"is":[3,32,63,73],"crucial":[4,33],"to":[5,22,28,38,121],"meet":[6],"the":[7,79,102],"demand":[8],"for":[9,34,51,65,75],"intelligent":[10],"coordination.":[12],"Adjusted":[13],"green":[14],"phases":[15],"can":[16],"improve":[17,122],"flow":[19],"and":[20,54,67,100,113,126],"lead":[21],"congestion":[23],"avoidance.":[24],"Therefore,":[25],"in":[26,124],"addition":[27],"object":[29,40],"counting,":[30],"it":[31],"optimal":[35],"track":[39],"movement.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45],"propose":[46],"a":[47,68],"highly":[48],"optimized":[49],"framework":[50],"detecting,":[52],"tracking":[53],"counting":[55],"road":[56],"users":[57],"at":[58],"intersections.":[59],"The":[60],"nano":[61],"YOLOv5":[62],"used":[64],"detection":[66],"neural":[69,109],"architecture":[70],"searched":[71],"network":[72,110],"proposed":[74],"feature":[76],"extraction":[77],"of":[78,97,105],"DeepSORT":[80],"algorithm.":[81],"Both":[82],"are":[83,117],"compressed":[84],"using":[85],"TensorRT.":[86],"Between":[87],"detected":[88],"frames,":[89],"an":[90],"optical":[91],"flow-based":[92],"tracker":[93],"provides":[94],"consistent":[95],"processing":[96],"tracked":[98],"objects":[99],"relieves":[101],"embedded":[103],"system":[104],"some":[106],"computationally":[107],"intensive":[108],"inference.":[111],"Motion":[112],"box":[114],"shape":[115],"features":[116],"taken":[118],"into":[119],"account":[120],"robustness":[123],"re-identification":[125],"prevent":[127],"swapping":[128],"boxes.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
