{"id":"https://openalex.org/W4401415628","doi":"https://doi.org/10.1109/icra57147.2024.10610679","title":"FocoTrack: Multi Object Tracking by Focusing On Overlap at Low Frame Rate","display_name":"FocoTrack: Multi Object Tracking by Focusing On Overlap at Low Frame Rate","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4401415628","doi":"https://doi.org/10.1109/icra57147.2024.10610679"},"language":"en","primary_location":{"id":"doi:10.1109/icra57147.2024.10610679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10610679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","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/A5110229849","display_name":"Jae Hyeok Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jae Hyeok Lee","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology (KAIST),School of Electrical Engineering,Daejeon,South Korea,34141"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology (KAIST),School of Electrical Engineering,Daejeon,South Korea,34141","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100661307","display_name":"Jae-hyeon Park","orcid":"https://orcid.org/0000-0001-5201-7005"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Hyeon Park","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology (KAIST),School of Electrical Engineering,Daejeon,South Korea,34141"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology (KAIST),School of Electrical Engineering,Daejeon,South Korea,34141","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090203902","display_name":"Dong Eui Chang","orcid":"https://orcid.org/0000-0002-6496-4189"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong Eui Chang","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology (KAIST),School of Electrical Engineering,Daejeon,South Korea,34141"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology (KAIST),School of Electrical Engineering,Daejeon,South Korea,34141","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110229849"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.5499,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64940734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"16222","last_page":"16228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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":0.9994999766349792,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.6686108708381653},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6276706457138062},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6021527647972107},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5910931825637817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5686565637588501},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5534442663192749},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5508865118026733},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5319144129753113},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10032486915588379}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6686108708381653},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6276706457138062},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6021527647972107},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5910931825637817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5686565637588501},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5534442663192749},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5508865118026733},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5319144129753113},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10032486915588379},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra57147.2024.10610679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10610679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326288","display_name":"K2","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2001657034","https://openalex.org/W2060451775","https://openalex.org/W2097009900","https://openalex.org/W2105934661","https://openalex.org/W2134034495","https://openalex.org/W2252355370","https://openalex.org/W2495172858","https://openalex.org/W2603203130","https://openalex.org/W2962766617","https://openalex.org/W2964160397","https://openalex.org/W2967409321","https://openalex.org/W2997747012","https://openalex.org/W2998792609","https://openalex.org/W3086436251","https://openalex.org/W3104218139","https://openalex.org/W3104778224","https://openalex.org/W3125736290","https://openalex.org/W3184439416","https://openalex.org/W3196204376","https://openalex.org/W3206199195","https://openalex.org/W3210464647","https://openalex.org/W3216986862","https://openalex.org/W4232009413","https://openalex.org/W4286904999","https://openalex.org/W4304092260","https://openalex.org/W4313072323","https://openalex.org/W4313121942","https://openalex.org/W4319300181","https://openalex.org/W4383109004","https://openalex.org/W4383220250","https://openalex.org/W4386076204","https://openalex.org/W6723805652","https://openalex.org/W6798838024","https://openalex.org/W6803262805"],"related_works":["https://openalex.org/W2977517636","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/W2810129309"],"abstract_inverted_index":{"Multi-object":[0],"tracking":[1,82,148],"(MOT)":[2],"presents":[3],"a":[4,36,75,121],"crucial":[5],"challenge":[6],"in":[7,14,65,84],"robotics.":[8],"Due":[9],"to":[10,63,71],"limited":[11,67],"resources":[12],"embedded":[13],"robots,":[15],"one":[16,87],"time":[17,21],"step":[18],"per":[19,56],"processing":[20],"for":[22],"algorithms":[23,41],"can":[24,60],"be":[25,61],"considerably":[26],"large.":[27],"This":[28],"scenario":[29],"necessitates":[30],"the":[31,43,66,116],"operation":[32],"of":[33,88,146],"MOT":[34,44,111],"at":[35,53,136],"low":[37],"frame":[38],"rate.":[39],"However,":[40],"within":[42],"research":[45],"field":[46],"have":[47],"been":[48],"constructed":[49],"around":[50],"datasets":[51],"functioning":[52],"10\u201330":[54],"frames":[55],"second":[57],"(fps)":[58],"which":[59,80,89,113],"difficult":[62],"operate":[64],"resources.":[68],"In":[69],"response":[70],"it,":[72],"we":[73],"introduce":[74],"new":[76],"algorithm,":[77],"called":[78],"FocoTrack,":[79],"maintains":[81],"ability":[83],"four":[85],"situations,":[86],"is":[90],"when":[91],"objects":[92],"are":[93],"overlapped":[94],"by":[95],"each":[96],"other.":[97],"Our":[98],"algorithm":[99,132],"exhibits":[100],"remarkable":[101],"performance":[102],"without":[103],"using":[104],"any":[105],"deep":[106,117],"appearance":[107,118],"descriptor,":[108],"surpassing":[109],"existing":[110],"methods":[112],"even":[114],"use":[115],"descriptor":[119],"on":[120,133],"2.5":[122],"fps":[123,138],"dataset.":[124],"We":[125],"also":[126],"demonstrate":[127],"strong":[128],"results":[129],"with":[130],"our":[131,147],"DanceTrack":[134],"dataset":[135],"20":[137],"and":[139],"provide":[140],"comprehensive":[141],"insights":[142],"through":[143],"detailed":[144],"analysis":[145],"model.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}