{"id":"https://openalex.org/W4409327435","doi":"https://doi.org/10.1109/tmc.2025.3559919","title":"E2EC: Edge-to-Edge Collaboration for Efficient Real-Time Video Surveillance Inference","display_name":"E2EC: Edge-to-Edge Collaboration for Efficient Real-Time Video Surveillance Inference","publication_year":2025,"publication_date":"2025-04-10","ids":{"openalex":"https://openalex.org/W4409327435","doi":"https://doi.org/10.1109/tmc.2025.3559919"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2025.3559919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3559919","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Mobile Computing","raw_type":"journal-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/A5103201280","display_name":"Li Guo","orcid":"https://orcid.org/0000-0002-3703-0057"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guo Li","raw_affiliation_strings":["Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China"],"raw_orcid":"https://orcid.org/0000-0002-3703-0057","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046574268","display_name":"Jiandian Zeng","orcid":"https://orcid.org/0000-0002-1349-8077"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiandian Zeng","raw_affiliation_strings":["Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China"],"raw_orcid":"https://orcid.org/0000-0002-1349-8077","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036466780","display_name":"Zihao Peng","orcid":"https://orcid.org/0000-0003-3108-123X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Peng","raw_affiliation_strings":["Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China"],"raw_orcid":"https://orcid.org/0000-0003-3108-123X","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008081503","display_name":"Yuzhu Liang","orcid":"https://orcid.org/0000-0002-7761-8947"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhu Liang","raw_affiliation_strings":["Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081182489","display_name":"Xi Zheng","orcid":"https://orcid.org/0000-0002-2572-2355"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xi Zheng","raw_affiliation_strings":["Macquarie University, Macquarie Park, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2572-2355","affiliations":[{"raw_affiliation_string":"Macquarie University, Macquarie Park, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006546107","display_name":"Tian Wang","orcid":"https://orcid.org/0000-0003-4819-621X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Wang","raw_affiliation_strings":["Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China"],"raw_orcid":"https://orcid.org/0000-0003-4819-621X","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103201280"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":3.1871,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91311259,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"24","issue":"9","first_page":"9126","last_page":"9140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9929999709129333,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9929999709129333,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9915000200271606,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9790999889373779,"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":0.8155500292778015},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6301903128623962},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4701692461967468},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.41987094283103943},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3748885989189148},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32818493247032166},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3251917064189911},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.25620779395103455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2504398822784424},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.1258438229560852},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11565783619880676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8155500292778015},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6301903128623962},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4701692461967468},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.41987094283103943},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3748885989189148},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32818493247032166},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3251917064189911},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25620779395103455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2504398822784424},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.1258438229560852},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11565783619880676}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2025.3559919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3559919","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1057732855","display_name":null,"funder_award_id":"2024A1515011323","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G1633255710","display_name":null,"funder_award_id":"4232028","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G22565649","display_name":null,"funder_award_id":"62372047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5662354931","display_name":null,"funder_award_id":"62302049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6330452986","display_name":null,"funder_award_id":"62172046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8853884303","display_name":null,"funder_award_id":"24GYB207","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2061344791","https://openalex.org/W2767011558","https://openalex.org/W2809251854","https://openalex.org/W2919115771","https://openalex.org/W2962996864","https://openalex.org/W2963000559","https://openalex.org/W2963842104","https://openalex.org/W2997214975","https://openalex.org/W3018835489","https://openalex.org/W3047401492","https://openalex.org/W3109296687","https://openalex.org/W3110777925","https://openalex.org/W3136038792","https://openalex.org/W3178914588","https://openalex.org/W4283204663","https://openalex.org/W4283204791","https://openalex.org/W4285261368","https://openalex.org/W4286904999","https://openalex.org/W4294068692","https://openalex.org/W4320472723","https://openalex.org/W4372266713","https://openalex.org/W4387623946","https://openalex.org/W4387967984","https://openalex.org/W4387968097","https://openalex.org/W4390604386","https://openalex.org/W4392901673","https://openalex.org/W4393864791","https://openalex.org/W4396877998","https://openalex.org/W4403936755","https://openalex.org/W6638523607","https://openalex.org/W6684084819","https://openalex.org/W6727208969","https://openalex.org/W6748408460","https://openalex.org/W6796915120","https://openalex.org/W6868582632"],"related_works":["https://openalex.org/W4313339048","https://openalex.org/W3162668736","https://openalex.org/W3013760193","https://openalex.org/W4366999913","https://openalex.org/W3176734149","https://openalex.org/W4281678247","https://openalex.org/W3014007418","https://openalex.org/W4381489698","https://openalex.org/W3131458535","https://openalex.org/W3201779876"],"abstract_inverted_index":{"In":[0],"smart":[1],"cities,":[2],"Multi-Camera":[3],"Multi-Target":[4],"pedestrian":[5,106,162],"tracking":[6],"and":[7,35,47,79,82,101,133,139,159,166,179],"Re-identification":[8,80],"(MCMT-ReID)":[9],"is":[10],"essential":[11],"for":[12],"effective":[13],"surveillance,":[14],"particularly":[15],"in":[16,141,177],"real-time":[17,120],"scenarios,":[18],"as":[19,32],"it":[20,170],"demands":[21],"significant":[22],"computational":[23],"resources.":[24],"Current":[25],"edgecloud":[26],"collaboration":[27,64],"methods":[28],"encounter":[29],"issues":[30],"such":[31],"high":[33],"latency":[34,181],"potential":[36],"data":[37,91,111],"leakage":[38],"due":[39],"to":[40,89,109,130,146,185],"the":[41,71,156],"physical":[42],"distance":[43],"between":[44,65],"cloud":[45],"servers":[46],"cameras.":[48],"To":[49,113],"address":[50],"these":[51],"issues,":[52],"we":[53,117],"propose":[54],"a":[55,84,119,142],"novel":[56],"Edge-to-Edge":[57],"Collaboration":[58],"(E2EC)":[59],"system":[60],"that":[61,153],"fully":[62],"utilizes":[63],"heterogeneous":[66],"edge":[67],"devices.":[68],"E2EC":[69,95,135,154],"partitions":[70],"MCMT-ReID":[72],"task":[73],"into":[74],"two":[75],"modular":[76],"applications:":[77],"Tracking":[78],"(ReID),":[81],"employs":[83],"customized":[85],"Kafka":[86],"communication":[87],"protocol":[88],"optimize":[90],"exchange":[92],"efficiency.":[93],"Moreover,":[94],"dynamically":[96],"orchestrates":[97],"intermediate":[98],"inference":[99],"flows":[100],"transmits":[102],"features":[103],"instead":[104],"of":[105,161,174],"detection":[107],"frames":[108],"avoid":[110],"leakage.":[112],"enhance":[114],"ReID":[115,121,163],"accuracy,":[116],"introduce":[118],"Loop":[122],"Confirmation":[123],"(ReLC)":[124],"algorithm,":[125],"which":[126],"continuously":[127],"validates":[128],"identities":[129],"boost":[131],"reliability":[132],"accuracy.":[134],"has":[136],"been":[137],"deployed":[138],"tested":[140],"real-world":[143],"campus":[144],"environment":[145],"validate":[147],"its":[148],"effectiveness.":[149],"Experimental":[150],"results":[151],"demonstrate":[152],"enhances":[155],"Rank-1":[157],"accuracy":[158],"mAP":[160],"by":[164,182],"36.88%":[165],"46.00%,":[167],"respectively.":[168],"Furthermore,":[169],"achieves":[171],"an":[172],"increase":[173],"about":[175],"6.35%-12.66%":[176],"throughput":[178],"reduces":[180],"35.01%-57.83%":[183],"compared":[184],"baselines,":[186],"ensuring":[187],"realtime":[188],"performance":[189],"under":[190],"dynamic":[191],"workloads.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}
