{"id":"https://openalex.org/W2914318662","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633009","title":"A Multiple Object Tracking Algorithm Based on YOLO Detection","display_name":"A Multiple Object Tracking Algorithm Based on YOLO Detection","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2914318662","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633009","mag":"2914318662"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2018.8633009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5065822896","display_name":"Li Tan","orcid":"https://orcid.org/0000-0002-2786-5958"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Tan","raw_affiliation_strings":["School of Computer and Information Engineering, Beijing Technology and Business University HaiDian District, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Beijing Technology and Business University HaiDian District, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059703957","display_name":"Dong Xu","orcid":"https://orcid.org/0000-0001-9669-0357"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Dong","raw_affiliation_strings":["School of Computer and Information Engineering, Beijing Technology and Business University HaiDian District, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Beijing Technology and Business University HaiDian District, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100524364","display_name":"Yuxi Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxi Ma","raw_affiliation_strings":["School of Computer and Information Engineering, Beijing Technology and Business University HaiDian District, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Beijing Technology and Business University HaiDian District, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075985115","display_name":"Chongchong Yu","orcid":"https://orcid.org/0000-0003-4234-1260"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongchong Yu","raw_affiliation_strings":["School of Computer and Information Engineering, Beijing Technology and Business University HaiDian District, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Beijing Technology and Business University HaiDian District, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065822896"],"corresponding_institution_ids":["https://openalex.org/I179026463"],"apc_list":null,"apc_paid":null,"fwci":0.4178,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.68725573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9919999837875366,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.973800003528595,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7290959358215332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7174087762832642},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7026428580284119},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6541030406951904},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6161818504333496},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5682295560836792},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5338031053543091},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5157447457313538},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4905242323875427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.490195095539093},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45984092354774475},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4546549320220947},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4537487328052521},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.45222005248069763},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44286850094795227},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4366518259048462},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3736630976200104},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2725899815559387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17497733235359192}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7290959358215332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7174087762832642},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7026428580284119},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6541030406951904},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6161818504333496},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5682295560836792},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5338031053543091},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5157447457313538},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4905242323875427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.490195095539093},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45984092354774475},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4546549320220947},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4537487328052521},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.45222005248069763},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44286850094795227},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4366518259048462},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3736630976200104},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2725899815559387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17497733235359192},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/cisp-bmei.2018.8633009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1568156700","https://openalex.org/W1568171214","https://openalex.org/W1686810756","https://openalex.org/W2005750530","https://openalex.org/W2069143585","https://openalex.org/W2097117768","https://openalex.org/W2144506857","https://openalex.org/W2291627510","https://openalex.org/W2470456807","https://openalex.org/W2582644041","https://openalex.org/W2605847739","https://openalex.org/W2605856284","https://openalex.org/W2765581107","https://openalex.org/W2808387576","https://openalex.org/W2963037989"],"related_works":["https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2012019886","https://openalex.org/W2019538911","https://openalex.org/W2467200550","https://openalex.org/W1996805379","https://openalex.org/W4234584818","https://openalex.org/W2965594636","https://openalex.org/W2043960970","https://openalex.org/W2912550626"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,91,97],"further":[3],"improve":[4],"the":[5,8,23,36,43,49,53,57,62,78,86,93,105,111,116,129],"accuracy":[6],"and":[7,40,61,66,83,101,103,123],"efficiency":[9],"of":[10,52,64,68,107],"multi-target":[11,14,32,135],"tracking,":[12],"a":[13],"tracking":[15,106,119],"algorithm":[16,30,131],"based":[17],"on":[18,115,134],"YOLO":[19,29],"is":[20,26,47,59,89,132],"proposed.":[21],"Firstly,":[22],"video":[24,112],"stream":[25],"detected":[27],"by":[28],"for":[31],"detection.":[33],"After":[34],"obtaining":[35],"target":[37,99,118],"size,":[38],"position":[39],"other":[41],"information,":[42],"depth":[44],"feature":[45,69],"extraction":[46,70],"performed,":[48],"noise":[50],"data":[51,120],"unrelated":[54],"regions":[55],"in":[56,110],"image":[58],"removed,":[60],"complexity":[63],"calculation":[65],"time":[67],"are":[71],"reduced.":[72],"LSTM":[73],"(long":[74],"short-term":[75],"memory)":[76],"obtains":[77],"temporal":[79],"relationship":[80],"between":[81],"frames":[82],"frames.":[84],"Finally,":[85],"Euclidean":[87],"distance":[88],"used":[90],"measure":[92],"similarity":[94],"so":[95],"as":[96],"achieve":[98],"matching":[100],"association":[102],"complete":[104],"multiple":[108],"targets":[109],"stream.":[113],"Experiments":[114],"open":[117],"set":[121],"MOT-16":[122],"MSR":[124],"Data":[125],"Set":[126],"show":[127],"that":[128],"proposed":[130],"workable":[133],"tracking.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}