{"id":"https://openalex.org/W7130555109","doi":"https://doi.org/10.1109/tcsvt.2026.3666162","title":"Toward Oriented Multi-Object Tracking for Fisheye Images: Dataset and Framework","display_name":"Toward Oriented Multi-Object Tracking for Fisheye Images: Dataset and Framework","publication_year":2026,"publication_date":"2026-02-19","ids":{"openalex":"https://openalex.org/W7130555109","doi":"https://doi.org/10.1109/tcsvt.2026.3666162"},"language":null,"primary_location":{"id":"doi:10.1109/tcsvt.2026.3666162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2026.3666162","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Circuits and Systems for Video Technology","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/A5114859214","display_name":"Jialin Yang","orcid":"https://orcid.org/0009-0003-4345-976X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialin Yang","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122925077","display_name":"Chunyu Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyu Lin","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2847-0349","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047964558","display_name":"Lang Nie","orcid":"https://orcid.org/0000-0002-7776-889X"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lang Nie","raw_affiliation_strings":["School of Artificial Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063136552","display_name":"Yepeng Tang","orcid":"https://orcid.org/0000-0002-4314-7550"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yepeng Tang","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126386325","display_name":"Yao Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8581-9554","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16443633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"7","first_page":"10780","last_page":"10793"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.6226000189781189,"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":0.6226000189781189,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.07569999992847443,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.050999999046325684,"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/bounding-overwatch","display_name":"Bounding overwatch","score":0.6244000196456909},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5892999768257141},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5605000257492065},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5353999733924866},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5167999863624573},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5008999705314636},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4490000009536743},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.446399986743927}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8073999881744385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7915999889373779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7432000041007996},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6244000196456909},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5892999768257141},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5605000257492065},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5353999733924866},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5167999863624573},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5008999705314636},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4490000009536743},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.446399986743927},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.44179999828338623},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3813000023365021},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.3808000087738037},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.36959999799728394},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3391999900341034},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.31450000405311584},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.2815999984741211},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.266400009393692},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2547000050544739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2026.3666162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2026.3666162","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.401384562253952}],"awards":[{"id":"https://openalex.org/G6248951615","display_name":null,"funder_award_id":"62573039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7296160566","display_name":null,"funder_award_id":"U2441242","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-object":[0],"tracking":[1],"(MOT)":[2],"in":[3,35],"fisheye":[4,36,89,130,160],"images":[5],"becomes":[6],"particularly":[7],"challenging":[8],"due":[9],"to":[10,123,134,153],"significant":[11,92],"radial":[12],"distortion.":[13,52],"In":[14,53,132],"MOT,":[15],"Camera":[16],"Motion":[17,70],"Compensation":[18,71],"(CMC)":[19],"is":[20],"crucial":[21],"for":[22,85,118,129],"mitigating":[23],"inter-frame":[24],"errors":[25],"caused":[26],"by":[27,50,171],"camera":[28],"movement.":[29],"However,":[30],"conventional":[31],"CMC":[32,79],"methods":[33],"degrade":[34],"images,":[37],"as":[38,76],"their":[39],"rigid":[40],"motion":[41,47,86],"models":[42],"cannot":[43],"characterize":[44],"the":[45,136,155,166],"non-uniform":[46],"fields":[48],"introduced":[49],"severe":[51],"this":[54,59,110],"paper,":[55],"we":[56,112,142,164],"first":[57],"establish":[58],"limitation":[60],"through":[61],"theoretical":[62],"derivation":[63],"and":[64,98,103,157,173,178],"then":[65],"propose":[66],"a":[67,77,126,145],"plug-and-play":[68],"ROI-Centric":[69],"(RCMC)":[72],"mechanism,":[73],"which":[74],"serves":[75],"new":[78],"solution":[80],"that":[81],"leverages":[82],"instance-aware":[83],"ROI":[84],"estimation.":[87],"Moreover,":[88],"distortion":[90],"introduces":[91],"target":[93],"tilt,":[94],"distorting":[95],"object":[96],"geometry":[97],"thereby":[99],"hindering":[100],"accurate":[101],"detection":[102],"separation":[104],"of":[105,138,159,168],"adjacent":[106],"instances.":[107],"To":[108],"address":[109],"issue,":[111],"integrate":[113],"RCMC":[114],"with":[115,149],"tailored":[116],"adjustments":[117],"oriented":[119],"bounding":[120],"boxes":[121],"(OBB)":[122],"form":[124],"FO-MOT,":[125],"MOT":[127,161],"framework":[128,170],"images.":[131],"addition,":[133],"overcome":[135],"lack":[137],"dedicated":[139],"evaluation":[140],"benchmarks,":[141],"present":[143],"FisheyeMOT,":[144],"comprehensively":[146],"annotated":[147],"dataset":[148,177],"OBB-based":[150],"labels,":[151],"designed":[152],"support":[154],"development":[156],"validation":[158],"systems.":[162],"Finally,":[163],"demonstrate":[165],"superiority":[167],"our":[169],"qualitative":[172],"quantitative":[174],"experiments.":[175],"The":[176],"code":[179],"will":[180],"be":[181],"released":[182],"at":[183],"https://github.com/lukanightfever/FO-MOT.":[184]},"counts_by_year":[],"updated_date":"2026-07-08T06:17:01.165560","created_date":"2026-02-20T00:00:00"}
