{"id":"https://openalex.org/W3046554648","doi":"https://doi.org/10.1109/tits.2020.3006927","title":"Multi-Stream Siamese and Faster Region-Based Neural Network for Real-Time Object Tracking","display_name":"Multi-Stream Siamese and Faster Region-Based Neural Network for Real-Time Object Tracking","publication_year":2020,"publication_date":"2020-07-28","ids":{"openalex":"https://openalex.org/W3046554648","doi":"https://doi.org/10.1109/tits.2020.3006927","mag":"3046554648"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2020.3006927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3006927","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5101436760","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0003-2500-8503"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Liu","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100646618","display_name":"Liming Zhang","orcid":"https://orcid.org/0000-0002-2664-8193"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Liming Zhang","raw_affiliation_strings":["Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Taipa, Macau"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Taipa, Macau","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101589085","display_name":"Zhihui Chen","orcid":"https://orcid.org/0000-0003-0175-0404"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Chen","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395059","display_name":"Yan Yan","orcid":"https://orcid.org/0000-0002-3674-7160"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yan","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044594971","display_name":"Hanzi Wang","orcid":"https://orcid.org/0000-0002-6913-9786"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzi Wang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101436760"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":1.0747,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.79710291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"22","issue":"11","first_page":"7279","last_page":"7292"},"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9909999966621399,"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":0.7964165210723877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7750830054283142},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.7241780161857605},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6630059480667114},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6399351358413696},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6372085213661194},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6365205645561218},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6059156060218811},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6036950349807739},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5382044315338135},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4715847074985504},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4158884286880493},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4134746193885803},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4112066924571991}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7964165210723877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7750830054283142},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.7241780161857605},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6630059480667114},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6399351358413696},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6372085213661194},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6365205645561218},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6059156060218811},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6036950349807739},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5382044315338135},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4715847074985504},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4158884286880493},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4134746193885803},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4112066924571991},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2020.3006927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3006927","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6700000166893005,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5449330877","display_name":null,"funder_award_id":"U1605252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6528361795","display_name":null,"funder_award_id":"61872307","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6835609421","display_name":null,"funder_award_id":"2017YFB1302400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1857884451","https://openalex.org/W1915599933","https://openalex.org/W1955514522","https://openalex.org/W1955741794","https://openalex.org/W1961006157","https://openalex.org/W1963882359","https://openalex.org/W1964846093","https://openalex.org/W2031489346","https://openalex.org/W2054210502","https://openalex.org/W2068042582","https://openalex.org/W2089961441","https://openalex.org/W2099471712","https://openalex.org/W2102605133","https://openalex.org/W2109579504","https://openalex.org/W2117539524","https://openalex.org/W2124211486","https://openalex.org/W2132103241","https://openalex.org/W2138621090","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2163605009","https://openalex.org/W2214352687","https://openalex.org/W2343187456","https://openalex.org/W2408241409","https://openalex.org/W2470394683","https://openalex.org/W2474599091","https://openalex.org/W2510184956","https://openalex.org/W2513005088","https://openalex.org/W2520477759","https://openalex.org/W2534277971","https://openalex.org/W2556108308","https://openalex.org/W2557957659","https://openalex.org/W2561434177","https://openalex.org/W2570189907","https://openalex.org/W2599547527","https://openalex.org/W2613718673","https://openalex.org/W2614241281","https://openalex.org/W2618544249","https://openalex.org/W2740685955","https://openalex.org/W2767101793","https://openalex.org/W2770189358","https://openalex.org/W2790149617","https://openalex.org/W2790644837","https://openalex.org/W2799148928","https://openalex.org/W2883580176","https://openalex.org/W2886910176","https://openalex.org/W2891033863","https://openalex.org/W2894682667","https://openalex.org/W2913150433","https://openalex.org/W2962824803","https://openalex.org/W2962864296","https://openalex.org/W2962989418","https://openalex.org/W2963074722","https://openalex.org/W2963854930","https://openalex.org/W2964038557","https://openalex.org/W2964111344","https://openalex.org/W2964253307","https://openalex.org/W2968127870","https://openalex.org/W3102624093","https://openalex.org/W4320013936","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6684191040","https://openalex.org/W6703518758","https://openalex.org/W6720898849","https://openalex.org/W6726083677","https://openalex.org/W6749967772","https://openalex.org/W6753818355","https://openalex.org/W6754805553"],"related_works":["https://openalex.org/W1578117154","https://openalex.org/W2970686063","https://openalex.org/W2385949326","https://openalex.org/W2095705906","https://openalex.org/W2789220062","https://openalex.org/W1497101000","https://openalex.org/W2146154945","https://openalex.org/W3177406559","https://openalex.org/W2783980107","https://openalex.org/W1893424669"],"abstract_inverted_index":{"Object":[0],"tracking":[1,17,30,100,161,183,197,202,221],"is":[2,126,150],"a":[3,34,50,96,110,115,121,138,143],"challenging":[4],"task":[5],"in":[6,49,87,137,156,210],"computer":[7],"vision":[8],"based":[9,15],"intelligent":[10],"transportation":[11],"systems.":[12],"Recently,":[13],"Siamese":[14,35,112,124],"object":[16,82,99,154,169,196,216],"methods":[18,31,74],"have":[19],"attracted":[20],"significant":[21],"attention":[22],"due":[23],"to":[24,37,102,128,152,158,178],"their":[25],"highly":[26],"efficient":[27],"performance.":[28],"These":[29,172],"usually":[32,75],"train":[33],"network":[36,63,113,125,148],"match":[38],"the":[39,44,56,60,65,88,104,130,134,160,168,181,215],"initial":[40],"target":[41,131],"patch":[42],"of":[43,59,167],"first":[45],"frame":[46],"with":[47],"candidates":[48],"new":[51,139],"frame.":[52,140],"In":[53,91,141],"these":[54,73],"methods,":[55],"offline":[57],"training":[58],"deep":[61],"neural":[62,118,147],"and":[64,114,132,188,208,226],"online":[66],"instance":[67,135],"searching":[68],"are":[69,175],"effectively":[70,108,205],"combined.":[71],"However,":[72],"do":[76],"not":[77],"include":[78],"template":[79,136],"update":[80,133],"or":[81],"re-identification,":[83],"which":[84],"easily":[85],"results":[86,193],"drift":[89],"problem.":[90],"this":[92],"paper,":[93],"we":[94],"propose":[95],"novel":[97,122],"real-time":[98,224],"method":[101,184,203,222],"overcome":[103],"above":[105],"problems":[106],"by":[107,163,213],"combining":[109],"multi-stream":[111,123],"region-based":[116,145],"convolutional":[117,146],"network.":[119],"Specifically,":[120],"proposed":[127,182,220],"search":[129],"addition,":[142],"faster":[144],"detector":[149],"used":[151],"perform":[153],"re-identification":[155],"order":[157],"improve":[159],"performance":[162],"making":[164],"full":[165],"use":[166],"category":[170,217],"information.":[171,218],"two":[173],"networks":[174],"tightly":[176],"coupled":[177],"ensure":[179],"that":[180,200],"has":[185],"high":[186],"efficiency":[187],"strong":[189],"discriminative":[190],"capability.":[191],"Experimental":[192],"on":[194],"several":[195,228],"benchmarks":[198],"show":[199],"our":[201],"can":[204],"track":[206],"vehicles":[207],"pedestrians":[209],"video":[211],"sequences":[212],"exploiting":[214],"The":[219],"achieves":[223],"operations":[225],"outperforms":[227],"other":[229],"state-of-the-art":[230],"methods.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
