{"id":"https://openalex.org/W4396835642","doi":"https://doi.org/10.1007/s40747-024-01426-y","title":"SCGTracker: object feature embedding enhancement based on graph attention networks for multi-object tracking","display_name":"SCGTracker: object feature embedding enhancement based on graph attention networks for multi-object tracking","publication_year":2024,"publication_date":"2024-05-11","ids":{"openalex":"https://openalex.org/W4396835642","doi":"https://doi.org/10.1007/s40747-024-01426-y"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01426-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01426-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01426-y.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01426-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034341759","display_name":"Xin Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Feng","raw_affiliation_strings":["College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, 404100, China"],"raw_orcid":"https://orcid.org/0009-0009-0766-5164","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, 404100, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102316325","display_name":"Xiaoning Jiao","orcid":null},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoning Jiao","raw_affiliation_strings":["College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, 404100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, 404100, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113141112","display_name":"Siping Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siping Wang","raw_affiliation_strings":["College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, 404100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, 404100, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091410612","display_name":"Zhixian Zhang","orcid":"https://orcid.org/0000-0002-4123-8715"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixian Zhang","raw_affiliation_strings":["College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, 404100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, 404100, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008561380","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0003-1849-6991"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["School of Artificial Intelligence, Chongqing University of Technology, Chongqing, 404100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Chongqing University of Technology, Chongqing, 404100, China","institution_ids":["https://openalex.org/I50632499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5034341759"],"corresponding_institution_ids":["https://openalex.org/I50632499"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.6665,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84664307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"4","first_page":"5513","last_page":"5527"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9957000017166138,"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/object","display_name":"Object (grammar)","score":0.641149640083313},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6333673000335693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6259812712669373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5962019562721252},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5803476572036743},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5403952598571777},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5381247997283936},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5131519436836243},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5069501399993896},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48945772647857666},{"id":"https://openalex.org/keywords/object-based","display_name":"Object based","score":0.4686315059661865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.409869521856308},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20501068234443665},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08849462866783142}],"concepts":[{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.641149640083313},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6333673000335693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6259812712669373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5962019562721252},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5803476572036743},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5403952598571777},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5381247997283936},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5131519436836243},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5069501399993896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48945772647857666},{"id":"https://openalex.org/C3019973339","wikidata":"https://www.wikidata.org/wiki/Q899523","display_name":"Object based","level":3,"score":0.4686315059661865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.409869521856308},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20501068234443665},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08849462866783142},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01426-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01426-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01426-y.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cd254033a37348a789804bcb39942337","is_oa":true,"landing_page_url":"https://doaj.org/article/cd254033a37348a789804bcb39942337","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":"Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5513-5527 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01426-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01426-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01426-y.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396835642.pdf"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2095780937","https://openalex.org/W2108772522","https://openalex.org/W2252355370","https://openalex.org/W2562637781","https://openalex.org/W2564755587","https://openalex.org/W2603203130","https://openalex.org/W2738535327","https://openalex.org/W2739491435","https://openalex.org/W2798542761","https://openalex.org/W2905224888","https://openalex.org/W2976466812","https://openalex.org/W2989604896","https://openalex.org/W3010309142","https://openalex.org/W3014710637","https://openalex.org/W3092674949","https://openalex.org/W3104218139","https://openalex.org/W3109494688","https://openalex.org/W3150106135","https://openalex.org/W3160926600","https://openalex.org/W3196100277","https://openalex.org/W3202732536","https://openalex.org/W3205307530","https://openalex.org/W3210586215","https://openalex.org/W3213221416","https://openalex.org/W4225418939","https://openalex.org/W4249899109","https://openalex.org/W4287202171","https://openalex.org/W4287393128","https://openalex.org/W4287993403","https://openalex.org/W4308351635","https://openalex.org/W6948024644"],"related_works":["https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W3156013036","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983","https://openalex.org/W4327670844"],"abstract_inverted_index":{"Abstract":[0],"Multi-object":[1],"tracking":[2,44,58],"(MOT)":[3],"is":[4,25],"a":[5,37,161,169,178],"task":[6],"to":[7,76,101,122,137],"identify":[8],"objects":[9,13,81],"in":[10,82,181],"videos,":[11],"however,":[12],"with":[14,185],"similar":[15],"appearance":[16,126,134],"or":[17],"occlusion":[18],"may":[19],"cause":[20],"frequent":[21,92,142],"ID":[22,93,144,171,182],"switching,":[23],"which":[24,46],"the":[26,65,68,78,91,107,115,129,139,150],"main":[27],"challenge":[28],"of":[29,67,141],"current":[30],"MOT.":[31],"In":[32,146],"this":[33],"paper,":[34],"we":[35,47,72,96],"propose":[36],"novel":[38],"self-cross":[39],"graph":[40,60,74,119],"neural":[41,61,120],"network-based":[42],"multi-object":[43],"method,":[45],"termed":[48],"as":[49],"SCGTracker.":[50],"This":[51],"method":[52,156],"seamlessly":[53],"integrates":[54],"object":[55,103,116,133,143],"detection":[56],"and":[57,85,110,168],"through":[59],"networks,":[62],"building":[63],"upon":[64],"foundation":[66],"JDE":[69],"paradigm.":[70],"Specifically,":[71],"construct":[73],"structures":[75],"capture":[77],"correlation":[79],"between":[80],"both":[83],"spatial":[84],"temporal":[86],"dimensions.":[87],"To":[88],"further":[89],"tackle":[90],"switching":[94],"problem,":[95],"employ":[97],"an":[98],"attention":[99],"mechanism":[100],"aggregate":[102],"context":[104],"information":[105,117],"within":[106],"same":[108],"frame":[109],"across":[111],"different":[112],"frames,":[113],"updating":[114],"via":[118],"networks":[121],"derive":[123],"highly":[124],"distinctive":[125],"features.":[127],"Ultimately,":[128],"obtained":[130],"strongly":[131],"distinguishable":[132],"features":[135],"serve":[136],"mitigate":[138],"issue":[140],"switches.":[145],"experiments":[147],"conducted":[148],"on":[149],"MOT17":[151],"test":[152],"set,":[153],"our":[154],"proposed":[155],"yields":[157],"promising":[158],"results,":[159],"achieving":[160],"73%":[162],"Multiple":[163],"Object":[164],"Tracking":[165],"Accuracy":[166],"(MOTA)":[167],"73.2%":[170],"F":[172],"1":[173],"score.":[174],"Furthermore,":[175],"it":[176],"demonstrates":[177],"substantial":[179],"reduction":[180],"switches":[183],"compared":[184],"state-of-the-art":[186],"methods.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}