{"id":"https://openalex.org/W4285251960","doi":"https://doi.org/10.1109/access.2022.3173408","title":"Real-Time Multiple Pedestrian Tracking With Joint Detection and Embedding Deep Learning Model for Embedded Systems","display_name":"Real-Time Multiple Pedestrian Tracking With Joint Detection and Embedding Deep Learning Model for Embedded Systems","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285251960","doi":"https://doi.org/10.1109/access.2022.3173408"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3173408","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3173408","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09770856.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09770856.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059947547","display_name":"Hung-Wei Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hung-Wei Lin","raw_affiliation_strings":["Department of Electronics Engineering, Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","Department of Electronics Engineering and Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu 30010 Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Electronics Engineering and Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu 30010 Taiwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088625335","display_name":"Vinay Malligere Shivanna","orcid":"https://orcid.org/0000-0002-9434-5899"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Vinay Malligere Shivanna","raw_affiliation_strings":["Department of Electronics Engineering, Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","Department of Electronics Engineering and Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu 30010 Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Electronics Engineering and Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu 30010 Taiwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001681259","display_name":"Hsiu Chi Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I92172085","display_name":"Chunghwa Telecom (Taiwan)","ror":"https://ror.org/04f786589","country_code":"TW","type":"company","lineage":["https://openalex.org/I92172085"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiu Chi Chang","raw_affiliation_strings":["Chunghua Telecom Company Ltd., Taoyuan City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Chunghua Telecom Company Ltd., Taoyuan City, Taiwan","institution_ids":["https://openalex.org/I92172085"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022312926","display_name":"Jiun-In Guo","orcid":"https://orcid.org/0000-0003-0402-2621"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jiun-In Guo","raw_affiliation_strings":["Department of Electronics Engineering, Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","Department of Electronics Engineering and Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu 30010 Taiwan and Pervasive Artificial Intelligence Research (PAIR) Labs, National Yang Ming Chiao Tung University, Hsinchu 30010 Taiwan and Wistron-NCTU Embedded Artificial Intelligence Research Center, National Yang Ming Chiao Tung University, Hsinchu 30010 Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Electronics Engineering and Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu 30010 Taiwan and Pervasive Artificial Intelligence Research (PAIR) Labs, National Yang Ming Chiao Tung University, Hsinchu 30010 Taiwan and Wistron-NCTU Embedded Artificial Intelligence Research Center, National Yang Ming Chiao Tung University, Hsinchu 30010 Taiwan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059947547"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8157,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72744099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"51458","last_page":"51471"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9976999759674072,"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":0.8361783027648926},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6394214630126953},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6376587748527527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6256139278411865},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6207022070884705},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.496825248003006},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4781652092933655},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47662246227264404},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45579349994659424},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.44783806800842285},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43976637721061707},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4374404549598694},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4328770041465759},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4147421419620514},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3549731373786926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2601054310798645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8361783027648926},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6394214630126953},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6376587748527527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6256139278411865},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6207022070884705},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.496825248003006},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4781652092933655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47662246227264404},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45579349994659424},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.44783806800842285},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43976637721061707},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4374404549598694},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4328770041465759},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4147421419620514},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3549731373786926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2601054310798645},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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":2,"locations":[{"id":"doi:10.1109/access.2022.3173408","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3173408","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09770856.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:57c1242c9af84a86b146df5ee94f964b","is_oa":true,"landing_page_url":"https://doaj.org/article/57c1242c9af84a86b146df5ee94f964b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 51458-51471 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3173408","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3173408","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09770856.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2884910486","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320322724","funder_display_name":"Ministry of Education, India"},{"id":"https://openalex.org/G2987608192","display_name":null,"funder_award_id":"RAM09A1151","funder_id":"https://openalex.org/F4320321559","funder_display_name":"Chunghwa Telecom Laboratories"},{"id":"https://openalex.org/G4257482942","display_name":null,"funder_award_id":"MOST 108-3017-F-009-001","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G4552725137","display_name":null,"funder_award_id":"MOST 110-2634-F-009-017","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320321559","display_name":"Chunghwa Telecom Laboratories","ror":"https://ror.org/04f786589"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285251960.pdf","grobid_xml":"https://content.openalex.org/works/W4285251960.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1485881041","https://openalex.org/W1521019969","https://openalex.org/W1861492603","https://openalex.org/W2097117768","https://openalex.org/W2105934661","https://openalex.org/W2107775979","https://openalex.org/W2109255472","https://openalex.org/W2124781496","https://openalex.org/W2150298366","https://openalex.org/W2194775991","https://openalex.org/W2222512263","https://openalex.org/W2252355370","https://openalex.org/W2549139847","https://openalex.org/W2565639579","https://openalex.org/W2594507094","https://openalex.org/W2601564443","https://openalex.org/W2603203130","https://openalex.org/W2752782242","https://openalex.org/W2912182999","https://openalex.org/W2916982636","https://openalex.org/W2963351448","https://openalex.org/W2963574614","https://openalex.org/W2963857746","https://openalex.org/W2963901085","https://openalex.org/W2966926453","https://openalex.org/W2982770724","https://openalex.org/W3012054770","https://openalex.org/W3012573144","https://openalex.org/W3034971973","https://openalex.org/W3035410385","https://openalex.org/W3042011474","https://openalex.org/W3095753995","https://openalex.org/W3104218139","https://openalex.org/W3106763294","https://openalex.org/W3205064612","https://openalex.org/W6637373629","https://openalex.org/W6696672603","https://openalex.org/W6750227808","https://openalex.org/W6760424586","https://openalex.org/W6762718338","https://openalex.org/W6777046832"],"related_works":["https://openalex.org/W1578117154","https://openalex.org/W2970686063","https://openalex.org/W2385949326","https://openalex.org/W2095705906","https://openalex.org/W1966005655","https://openalex.org/W2789220062","https://openalex.org/W1497101000","https://openalex.org/W2146154945","https://openalex.org/W3177406559","https://openalex.org/W1893424669"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3,100],"improvement":[4,108],"to":[5,39,95,132,160,176,190],"the":[6,13,18,26,31,34,41,50,54,57,62,106,110,121,145,162,169,179,184,199],"multi-object":[7,63,134],"tracking":[8,29,64,135],"system":[9,36,65,112,171],"framework":[10],"based":[11],"on":[12,136,144],"image":[14,130],"inputs.":[15],"By":[16],"analyzing":[17],"role":[19],"and":[20,43,77,86,99,127,183],"performance":[21,167,187],"of":[22,33,61,109,123,168,178],"each":[23],"block":[24],"in":[25,93,105],"original":[27,35,111,180],"multi-objects":[28],"system,":[30],"blocks":[32],"are":[37,66,91],"reconstructed":[38],"enhance":[40],"efficiency":[42,174],"yield":[44],"a":[45,69,97],"faster":[46],"processing":[47],"speed":[48],"suiting":[49],"real-time":[51,200],"applications.":[52,204],"In":[53],"proposed":[55,140,170],"method,":[56],"first":[58],"two":[59],"parts":[60],"merged":[67],"into":[68],"single":[70],"neural":[71,163],"network":[72],"designed":[73],"for":[74,198],"object":[75,82],"detection":[76],"feature":[78],"extraction.":[79],"A":[80],"new":[81],"association":[83,102],"judgment":[84],"method":[85,117,141],"JDE":[87],"inspired":[88],"prediction":[89],"head":[90],"included":[92],"order":[94],"achieve":[96,133,188],"better":[98,173],"outstanding":[101],"effect":[103],"resulting":[104],"overall":[107,166,185],"by":[113],"45.2%.":[114],"The":[115,139,152,165],"enhanced":[116],"is":[118,142,158],"aimed":[119],"at":[120],"application":[122],"smart":[124,201],"roadside":[125,202],"units":[126],"uses":[128],"fixed-viewpoint":[129],"input":[131],"embedded":[137,150],"platforms.":[138],"implemented":[143],"NVIDIA":[146,153],"Jetson":[147],"AGX":[148],"Xavier":[149],"platform.":[151],"TensorRT":[154],"software":[155],"development":[156],"kit":[157],"used":[159],"accelerate":[161],"network.":[164],"yields":[172],"compared":[175],"that":[177],"SDE":[181],"design":[182],"computing":[186],"up":[189],"14-26":[191],"images":[192],"per":[193],"second,":[194],"making":[195],"it":[196],"ideal":[197],"unit":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}