{"id":"https://openalex.org/W4394761924","doi":"https://doi.org/10.1007/s00138-024-01531-5","title":"BoostTrack: boosting the similarity measure and detection confidence for improved multiple object tracking","display_name":"BoostTrack: boosting the similarity measure and detection confidence for improved multiple object tracking","publication_year":2024,"publication_date":"2024-04-12","ids":{"openalex":"https://openalex.org/W4394761924","doi":"https://doi.org/10.1007/s00138-024-01531-5"},"language":"en","primary_location":{"id":"doi:10.1007/s00138-024-01531-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-024-01531-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00138-024-01531-5.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"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":"Machine Vision and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00138-024-01531-5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040283246","display_name":"Vukasin D. Stanojevic","orcid":"https://orcid.org/0000-0002-5439-1057"},"institutions":[{"id":"https://openalex.org/I152518017","display_name":"University of Nis","ror":"https://ror.org/00965bg92","country_code":"RS","type":"education","lineage":["https://openalex.org/I152518017"]}],"countries":["RS"],"is_corresponding":true,"raw_author_name":"Vukasin D. Stanojevic","raw_affiliation_strings":["Department of Computer Science, Faculty of Science and Mathematics, University of Nis, Visegradska 33, Nis, 18000, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Science and Mathematics, University of Nis, Visegradska 33, Nis, 18000, Serbia","institution_ids":["https://openalex.org/I152518017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003822198","display_name":"Branimir Todorovi\u0107","orcid":"https://orcid.org/0000-0002-1792-1311"},"institutions":[{"id":"https://openalex.org/I152518017","display_name":"University of Nis","ror":"https://ror.org/00965bg92","country_code":"RS","type":"education","lineage":["https://openalex.org/I152518017"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Branimir T. Todorovic","raw_affiliation_strings":["Department of Computer Science, Faculty of Science and Mathematics, University of Nis, Visegradska 33, Nis, 18000, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Science and Mathematics, University of Nis, Visegradska 33, Nis, 18000, Serbia","institution_ids":["https://openalex.org/I152518017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040283246"],"corresponding_institution_ids":["https://openalex.org/I152518017"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":16.1318,"has_fulltext":true,"cited_by_count":72,"citation_normalized_percentile":{"value":0.99520802,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"35","issue":"3","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9717000126838684,"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/T11448","display_name":"Face recognition and analysis","score":0.963699996471405,"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":0.7850883603096008},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.6307210922241211},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5695613622665405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4862860441207886},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4798388183116913},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4765366017818451},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.46299466490745544},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4481396973133087},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.443930447101593},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4359317719936371},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3693219721317291},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32767653465270996}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7850883603096008},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.6307210922241211},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5695613622665405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4862860441207886},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4798388183116913},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4765366017818451},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.46299466490745544},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4481396973133087},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.443930447101593},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4359317719936371},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3693219721317291},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32767653465270996},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00138-024-01531-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-024-01531-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00138-024-01531-5.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"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":"Machine Vision and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00138-024-01531-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-024-01531-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00138-024-01531-5.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"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":"Machine Vision and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4394761924.pdf"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W2055022211","https://openalex.org/W2080630744","https://openalex.org/W2087347434","https://openalex.org/W2101544546","https://openalex.org/W2105934661","https://openalex.org/W2124781496","https://openalex.org/W2222512263","https://openalex.org/W2225887246","https://openalex.org/W2252355370","https://openalex.org/W2291627510","https://openalex.org/W2511791013","https://openalex.org/W2530864608","https://openalex.org/W2534578893","https://openalex.org/W2547098537","https://openalex.org/W2603203130","https://openalex.org/W2898473077","https://openalex.org/W2920942303","https://openalex.org/W2962766617","https://openalex.org/W2976466812","https://openalex.org/W2981393651","https://openalex.org/W2982165882","https://openalex.org/W3012922853","https://openalex.org/W3014710637","https://openalex.org/W3035139397","https://openalex.org/W3035537506","https://openalex.org/W3084173793","https://openalex.org/W3086436251","https://openalex.org/W3104218139","https://openalex.org/W3104778224","https://openalex.org/W3154639839","https://openalex.org/W3159240183","https://openalex.org/W3175778639","https://openalex.org/W3181852566","https://openalex.org/W3184439416","https://openalex.org/W4200051644","https://openalex.org/W4213179364","https://openalex.org/W4221162155","https://openalex.org/W4223606048","https://openalex.org/W4281478537","https://openalex.org/W4283748233","https://openalex.org/W4285357233","https://openalex.org/W4286904999","https://openalex.org/W4287903805","https://openalex.org/W4296467546","https://openalex.org/W4304892696","https://openalex.org/W4306705649","https://openalex.org/W4307122090","https://openalex.org/W4312473433","https://openalex.org/W4313345863","https://openalex.org/W4313479889","https://openalex.org/W4319300181","https://openalex.org/W4319866011","https://openalex.org/W4320719710","https://openalex.org/W4320736629","https://openalex.org/W4321854184","https://openalex.org/W4330337877","https://openalex.org/W4366343194","https://openalex.org/W4380136622","https://openalex.org/W4384341487","https://openalex.org/W4385436651","https://openalex.org/W4385575022","https://openalex.org/W4385804909","https://openalex.org/W4385964530","https://openalex.org/W4386071841","https://openalex.org/W4386076116","https://openalex.org/W4386076204","https://openalex.org/W4386083136","https://openalex.org/W4386597141","https://openalex.org/W4386876065","https://openalex.org/W4386907370","https://openalex.org/W4386977734","https://openalex.org/W4387029004","https://openalex.org/W6910388606"],"related_works":["https://openalex.org/W4382795578","https://openalex.org/W2355463328","https://openalex.org/W2402648945","https://openalex.org/W1431147547","https://openalex.org/W2771741613","https://openalex.org/W2055761197","https://openalex.org/W2053213469","https://openalex.org/W2057608111","https://openalex.org/W2793032185","https://openalex.org/W2963610131"],"abstract_inverted_index":{"Abstract":[0],"Handling":[1],"unreliable":[2],"detections":[3,25,141,153],"and":[4,30,57,70,78,84,109,151,172,178,210,228],"avoiding":[5],"identity":[6,33],"switches":[7],"are":[8,166],"crucial":[9],"for":[10],"the":[11,37,43,75,94,115,132,140,147,152,169,187,223],"success":[12],"of":[13,135,138],"multiple":[14],"object":[15],"tracking":[16],"(MOT).":[17],"Ideally,":[18],"MOT":[19,50,62,224],"algorithm":[20],"should":[21],"use":[22,71],"true":[23],"positive":[24],"only,":[26],"work":[27],"in":[28,89,125,219,222],"real-time":[29,193],"produce":[31],"no":[32],"switches.":[34],"To":[35,92,119],"approach":[36],"described":[38],"ideal":[39],"solution,":[40],"we":[41,103,128,142,154,173],"present":[42],"BoostTrack,":[44],"a":[45,66,105,159],"simple":[46],"yet":[47],"effective":[48],"tracing-by-detection":[49],"method":[51,202],"that":[52],"utilizes":[53],"several":[54],"lightweight":[55],"plug":[56],"play":[58],"additions":[59,112,165],"to":[60,73,113,130,144,146,156,158,168,182,186],"improve":[61],"performance.":[63],"We":[64,232],"design":[65],"detection-tracklet":[67],"confidence":[68,83,87,133],"score":[69,122],"it":[72],"scale":[74],"similarity":[76,111,117],"measure":[77],"implicitly":[79],"favour":[80],"high":[81,85],"detection":[82],"tracklet":[86],"pairs":[88],"one-stage":[90,126],"association.":[91],"reduce":[93],"ambiguity":[95],"arising":[96],"from":[97],"using":[98],"intersection":[99],"over":[100],"union":[101],"(IoU),":[102],"propose":[104,129],"novel":[106],"Mahalanobis":[107],"distance":[108],"shape":[110],"boost":[114,131],"overall":[116],"measure.":[118],"utilize":[120],"low-detection":[121],"bounding":[123],"boxes":[124],"association,":[127],"scores":[134],"two":[136],"groups":[137],"detections:":[139],"assume":[143,155],"correspond":[145,157],"existing":[148,170],"tracked":[149],"object,":[150],"previously":[160],"undetected":[161],"object.":[162],"The":[163],"proposed":[164],"orthogonal":[167],"approaches,":[171],"combine":[174],"them":[175],"with":[176,198],"interpolation":[177],"camera":[179],"motion":[180],"compensation":[181],"achieve":[183],"results":[184],"comparable":[185],"standard":[188,205],"benchmark":[189,206],"solutions":[190,207],"while":[191],"retaining":[192],"execution":[194],"speed.":[195],"When":[196],"combined":[197],"appearance":[199],"similarity,":[200],"our":[201,234],"outperforms":[203],"all":[204],"on":[208,226],"MOT17":[209,227],"MOT20":[211,229],"datasets.":[212],"It":[213],"ranks":[214],"first":[215],"among":[216],"online":[217],"methods":[218],"HOTA":[220],"metric":[221],"Challenge":[225],"test":[230],"sets.":[231],"make":[233],"code":[235],"available":[236],"at":[237],"https://github.com/vukasin-stanojevic/BoostTrack":[238],".":[239]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":50},{"year":2024,"cited_by_count":8}],"updated_date":"2026-05-25T08:39:21.599409","created_date":"2025-10-10T00:00:00"}