{"id":"https://openalex.org/W4381734764","doi":"https://doi.org/10.1109/cscwd57460.2023.10152794","title":"Pedestrian Identification and Tracking within Adaptive Collaboration Edge Computing*","display_name":"Pedestrian Identification and Tracking within Adaptive Collaboration Edge Computing*","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4381734764","doi":"https://doi.org/10.1109/cscwd57460.2023.10152794"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd57460.2023.10152794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd57460.2023.10152794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5009771110","display_name":"Ming Tao","orcid":"https://orcid.org/0000-0003-1175-5380"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Tao","raw_affiliation_strings":["Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China","School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China"],"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China","institution_ids":["https://openalex.org/I2799850029"]},{"raw_affiliation_string":"School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079684828","display_name":"Xueqiang Li","orcid":"https://orcid.org/0000-0003-4895-2011"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqiang Li","raw_affiliation_strings":["Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China","School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China"],"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China","institution_ids":["https://openalex.org/I2799850029"]},{"raw_affiliation_string":"School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029641868","display_name":"Renping Xie","orcid":"https://orcid.org/0000-0003-3874-9669"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renping Xie","raw_affiliation_strings":["Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China","School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China"],"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China","institution_ids":["https://openalex.org/I2799850029"]},{"raw_affiliation_string":"School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101873754","display_name":"Kai Ding","orcid":"https://orcid.org/0000-0002-4214-1923"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Ding","raw_affiliation_strings":["Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China","School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China"],"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China","institution_ids":["https://openalex.org/I2799850029"]},{"raw_affiliation_string":"School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009771110"],"corresponding_institution_ids":["https://openalex.org/I2799850029"],"apc_list":null,"apc_paid":null,"fwci":1.7286,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86666048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1124","last_page":"1129"},"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":0.9850999712944031,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9807000160217285,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7546700239181519},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6881842017173767},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6645860075950623},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6637698411941528},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6443955898284912},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.6135687828063965},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6008291840553284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5875664353370667},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5837106704711914},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.5782890915870667},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.48836061358451843},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.46765631437301636},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44540444016456604},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4288448393344879},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15227198600769043},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13778162002563477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7546700239181519},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6881842017173767},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6645860075950623},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6637698411941528},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6443955898284912},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.6135687828063965},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6008291840553284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5875664353370667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5837106704711914},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.5782890915870667},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.48836061358451843},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.46765631437301636},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44540444016456604},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4288448393344879},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15227198600769043},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13778162002563477},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd57460.2023.10152794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd57460.2023.10152794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320328566","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2534171296","https://openalex.org/W2534262995","https://openalex.org/W2791697444","https://openalex.org/W2797952247","https://openalex.org/W2806990378","https://openalex.org/W2886649975","https://openalex.org/W2893536706","https://openalex.org/W2912118475","https://openalex.org/W2943201207","https://openalex.org/W2963705844","https://openalex.org/W3007444020","https://openalex.org/W3047884290","https://openalex.org/W3048736571","https://openalex.org/W3088599578","https://openalex.org/W3096978936","https://openalex.org/W3107579335"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W1977648593","https://openalex.org/W2348780717","https://openalex.org/W2780165746","https://openalex.org/W4252030899","https://openalex.org/W2561938144","https://openalex.org/W3087821047","https://openalex.org/W2602033589","https://openalex.org/W4235475963"],"abstract_inverted_index":{"Nowadays,":[0],"video":[1,21],"surveillance":[2,22],"is":[3,108,129,154,162,170,182],"widespread":[4],"used":[5],"to":[6,31,49,131,156,184,209],"achieve":[7,157,185],"security":[8,56],"life":[9],"in":[10,35,63,110],"the":[11,36,50,114,119,125,133,165,173,177,202,211,214],"construction":[12,51],"of":[13,20,38,46,52,69,116,136,143,146,213],"smart":[14],"city.":[15],"As":[16],"a":[17,53,86,193],"result,":[18],"prevalence":[19],"equipments":[23],"and":[24,29,43,61,73,77,91,100,139,149,168,187],"technologies":[25],"enables":[26],"pedestrian":[27,59,98,137,158,189],"identification":[28,60,99,138],"tracking":[30,62,101,180],"be":[32],"research":[33],"hotspots":[34],"field":[37],"computer":[39,78],"vision,":[40],"whose":[41],"development":[42],"application":[44],"are":[45],"great":[47],"significance":[48],"good":[54],"social":[55],"environment.":[57],"However,":[58],"monitoring":[64],"scenarios":[65],"still":[66,84],"have":[67,85,206],"problems":[68],"low":[70],"recognition":[71,82],"accuracy":[72],"high":[74],"model":[75],"complexity,":[76],"vision":[79],"based":[80],"adaptive":[81,103],"methods":[83],"large":[87],"room":[88],"for":[89],"improvement":[90],"development.":[92],"To":[93],"address":[94],"this":[95,111],"issue,":[96],"real-time":[97],"within":[102],"collaboration":[104],"edge":[105,117,126],"computing":[106,127],"environment":[107],"investigated":[109,155,183],"paper.":[112],"Within":[113],"paradigm":[115],"computing,":[118],"Raspberry":[120,196],"Pi":[121,197],"3B+":[122,198],"acting":[123],"as":[124,164,172],"node":[128],"adopted":[130],"handle":[132],"related":[134],"issues":[135],"tracking.":[140,190],"The":[141],"combination":[142],"HOG":[144,161],"(Histogram":[145],"Oriented":[147],"Gradient)":[148],"SVM":[150,169],"(Support":[151],"Vector":[152],"Machine)":[153],"identification,":[159],"where,":[160],"employed":[163,171],"feature":[166],"descriptor":[167],"classification":[174],"algorithm.":[175],"Furthermore,":[176],"pixel-based":[178],"visual":[179],"algorithm":[181],"effective":[186],"uninterrupted":[188],"By":[191],"implementing":[192],"prototype":[194],"on":[195],"using":[199],"OpenCV":[200],"libraries,":[201],"experimental":[203],"results":[204],"finally":[205],"been":[207],"shown":[208],"demonstrate":[210],"efficiency":[212],"investigations.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}