{"id":"https://openalex.org/W4390900800","doi":"https://doi.org/10.1145/3635638.3635653","title":"SIN OC_SORT: Multi-Object Tracking by Re-Correct the Equations of Motion","display_name":"SIN OC_SORT: Multi-Object Tracking by Re-Correct the Equations of Motion","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4390900800","doi":"https://doi.org/10.1145/3635638.3635653"},"language":"en","primary_location":{"id":"doi:10.1145/3635638.3635653","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3635638.3635653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 6th International Conference on Machine Learning and Machine Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5005679999","display_name":"Zhipeng Zhao","orcid":"https://orcid.org/0000-0001-9691-8403"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Zhao","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, China"],"raw_orcid":"https://orcid.org/0000-0001-9691-8403","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086388647","display_name":"Jiawen He","orcid":"https://orcid.org/0009-0000-1853-3217"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawen He","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, China"],"raw_orcid":"https://orcid.org/0009-0000-1853-3217","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015835540","display_name":"Ruichun Tang","orcid":"https://orcid.org/0000-0002-4273-8623"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruichun Tang","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, China"],"raw_orcid":"https://orcid.org/0000-0002-4273-8623","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064641785","display_name":"Peishun Liu","orcid":"https://orcid.org/0000-0002-7746-8061"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peishun Liu","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, China"],"raw_orcid":"https://orcid.org/0000-0002-7746-8061","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026427150","display_name":"Youwei Zhao","orcid":"https://orcid.org/0009-0009-1436-9291"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youwei Zhao","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, China"],"raw_orcid":"https://orcid.org/0009-0009-1436-9291","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"100","last_page":"105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9975000023841858,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9975000023841858,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9929999709129333,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9927999973297119,"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/sort","display_name":"sort","score":0.823380708694458},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6003236174583435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5850349068641663},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5291332006454468},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5131590962409973},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49123042821884155},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.45054423809051514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4007413685321808},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.35787254571914673},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14395317435264587},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09430405497550964}],"concepts":[{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.823380708694458},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6003236174583435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5850349068641663},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5291332006454468},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5131590962409973},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49123042821884155},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.45054423809051514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4007413685321808},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.35787254571914673},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14395317435264587},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09430405497550964},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3635638.3635653","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3635638.3635653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 6th International Conference on Machine Learning and Machine Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2102605133","https://openalex.org/W2252355370","https://openalex.org/W2603203130","https://openalex.org/W2920942303","https://openalex.org/W2950703532","https://openalex.org/W2981393651","https://openalex.org/W3084173793","https://openalex.org/W3098744844","https://openalex.org/W3104218139","https://openalex.org/W3119686997","https://openalex.org/W3165926952","https://openalex.org/W3184439416","https://openalex.org/W3209023611","https://openalex.org/W4286904999","https://openalex.org/W4312473433","https://openalex.org/W4313117614","https://openalex.org/W4322576511","https://openalex.org/W4386076204","https://openalex.org/W4386083103","https://openalex.org/W4386590375"],"related_works":["https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W4205448459","https://openalex.org/W2968379562","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":{"With":[0],"the":[1,6,15,54,84,87,92,122],"improvement":[2],"in":[3,23,70,91],"detector":[4],"performance,":[5],"Kalman":[7,88],"Filter":[8],"can":[9],"estimate":[10],"object":[11,27],"trajectories":[12,69,80],"based":[13],"on":[14,105],"basic":[16],"assumption":[17],"of":[18,41,57,86,94,113],"short-term":[19],"linear":[20],"motion.":[21],"However,":[22],"scenarios":[24],"with":[25],"severe":[26],"occlusion,":[28],"this":[29,108],"estimation":[30],"may":[31],"suffer":[32],"from":[33,49],"significant":[34],"biases.":[35],"This":[36],"paper":[37],"leveraged":[38],"prior":[39],"knowledge":[40],"human":[42],"walking":[43],"patterns":[44],"and":[45,118],"analyzed":[46],"scatter":[47],"plots":[48],"Hailuyuan":[50,106],"dataset":[51],"to":[52,66,82],"understand":[53],"motion":[55,64],"characteristics":[56],"pedestrians.":[58],"We":[59],"proposed":[60],"using":[61],"a":[62,111],"modified":[63],"equation":[65],"generate":[67],"virtual":[68,79],"situations":[71],"where":[72],"objects":[73],"are":[74],"heavily":[75],"occluded.":[76],"These":[77],"corrected":[78],"contribute":[81],"enhancing":[83],"accuracy":[85],"Filter\u2019s":[89],"estimates":[90],"presence":[93],"prolonged":[95],"occlusion.":[96],"Evaluating":[97],"our":[98],"method":[99],"against":[100],"six":[101],"MOT":[102],"baseline":[103,123],"approaches":[104],"dataset,":[107],"study":[109],"achieved":[110],"performance":[112],"0.605":[114],"MOTA,":[115],"0.652":[116],"IDF1,":[117],"25.6":[119],"fps,":[120],"outperforming":[121],"models.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
