{"id":"https://openalex.org/W2968127870","doi":"https://doi.org/10.1109/tits.2019.2930337","title":"Manifold Siamese Network: A Novel Visual Tracking ConvNet for Autonomous Vehicles","display_name":"Manifold Siamese Network: A Novel Visual Tracking ConvNet for Autonomous Vehicles","publication_year":2019,"publication_date":"2019-08-13","ids":{"openalex":"https://openalex.org/W2968127870","doi":"https://doi.org/10.1109/tits.2019.2930337","mag":"2968127870"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2019.2930337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2930337","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/A5010984242","display_name":"Ming Gao","orcid":"https://orcid.org/0000-0003-4199-4470"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Gao","raw_affiliation_strings":["College of Transportation, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0003-4199-4470","affiliations":[{"raw_affiliation_string":"College of Transportation, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043654176","display_name":"Lisheng Jin","orcid":"https://orcid.org/0000-0002-3086-1333"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lisheng Jin","raw_affiliation_strings":["College of Transportation, Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Transportation, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063381183","display_name":"Yuying Jiang","orcid":"https://orcid.org/0000-0002-4036-8024"},"institutions":[{"id":"https://openalex.org/I1318643470","display_name":"Union Hospital","ror":"https://ror.org/01j7r2734","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I1318643470"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuying Jiang","raw_affiliation_strings":["Department of Ophthalmology, China-Japan Union Hospital of Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-4036-8024","affiliations":[{"raw_affiliation_string":"Department of Ophthalmology, China-Japan Union Hospital of Jilin University, Changchun, China","institution_ids":["https://openalex.org/I1318643470","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078255726","display_name":"Baicang Guo","orcid":"https://orcid.org/0000-0002-1130-4232"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baicang Guo","raw_affiliation_strings":["College of Transportation, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-1130-4232","affiliations":[{"raw_affiliation_string":"College of Transportation, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2371,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.90733305,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"21","issue":"4","first_page":"1612","last_page":"1623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9595000147819519,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7220789790153503},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6598901152610779},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.657562255859375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6555111408233643},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5499809980392456},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5384684801101685},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.48320281505584717},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4513309895992279},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43884390592575073},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4349018931388855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4332968592643738},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4299629330635071},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.41194117069244385},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12187913060188293}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7220789790153503},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6598901152610779},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.657562255859375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6555111408233643},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5499809980392456},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5384684801101685},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.48320281505584717},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4513309895992279},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43884390592575073},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4349018931388855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4332968592643738},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4299629330635071},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.41194117069244385},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12187913060188293},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2019.2930337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2930337","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":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4610597856","display_name":null,"funder_award_id":"2017YFB0102600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5868862716","display_name":null,"funder_award_id":"2018YFB1600500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7018032950","display_name":null,"funder_award_id":"51575229","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"},{"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":69,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W818325216","https://openalex.org/W1528914981","https://openalex.org/W1686810756","https://openalex.org/W1915599933","https://openalex.org/W1945612181","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W2001785244","https://openalex.org/W2018078023","https://openalex.org/W2018193225","https://openalex.org/W2023640470","https://openalex.org/W2029309869","https://openalex.org/W2042080705","https://openalex.org/W2045512849","https://openalex.org/W2047237558","https://openalex.org/W2048506041","https://openalex.org/W2077766785","https://openalex.org/W2098941887","https://openalex.org/W2104290444","https://openalex.org/W2117539524","https://openalex.org/W2149338181","https://openalex.org/W2150066425","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2158827467","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2211629196","https://openalex.org/W2244956674","https://openalex.org/W2339957118","https://openalex.org/W2408241409","https://openalex.org/W2470394683","https://openalex.org/W2474941434","https://openalex.org/W2518013266","https://openalex.org/W2520477759","https://openalex.org/W2556556019","https://openalex.org/W2557641257","https://openalex.org/W2592712968","https://openalex.org/W2607186518","https://openalex.org/W2610871254","https://openalex.org/W2740685955","https://openalex.org/W2770189358","https://openalex.org/W2776035257","https://openalex.org/W2776566587","https://openalex.org/W2788352579","https://openalex.org/W2790194629","https://openalex.org/W2797812763","https://openalex.org/W2798520605","https://openalex.org/W2799058067","https://openalex.org/W2803911450","https://openalex.org/W2883108970","https://openalex.org/W2894176037","https://openalex.org/W2917435394","https://openalex.org/W2962824803","https://openalex.org/W2962835968","https://openalex.org/W2963074722","https://openalex.org/W2963854930","https://openalex.org/W2963873961","https://openalex.org/W2964111344","https://openalex.org/W2964253307","https://openalex.org/W2997701990","https://openalex.org/W3101708136","https://openalex.org/W3102624093","https://openalex.org/W6637373629","https://openalex.org/W6662317391","https://openalex.org/W6675747103","https://openalex.org/W6684191040","https://openalex.org/W6752169130"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W178060743","https://openalex.org/W2126676984","https://openalex.org/W2909390414","https://openalex.org/W2954509079","https://openalex.org/W3104472694","https://openalex.org/W2141888607","https://openalex.org/W2753886513","https://openalex.org/W1765993298"],"abstract_inverted_index":{"Visual":[0],"tracking":[1,24,76,182],"is":[2,52,89,103,170,201],"a":[3,30,70,107,115,121,126,133,146,158,197],"vital":[4],"component":[5],"of":[6,38,49,96],"autonomous":[7,205],"driving":[8],"perception":[9],"system.":[10],"Siamese":[11,27,50,72],"networks":[12],"have":[13],"achieved":[14],"great":[15],"success":[16],"in":[17,33],"both":[18],"accuracy":[19],"and":[20,59,82,131,143,152],"speed":[21],"for":[22,42,74,204],"visual":[23,75],"tasks.":[25],"These":[26],"trackers":[28,51],"share":[29],"similar":[31],"framework":[32],"which":[34,200],"each":[35],"tracker":[36],"consists":[37],"two":[39],"network":[40,73,130,139],"branches":[41],"exploring":[43],"semantic":[44,57,81],"information.":[45,84],"However,":[46],"the":[47,93,180,188],"performance":[48],"limited":[53],"by":[54],"an":[55,60,165],"insufficient":[56],"template":[58,147],"unsatisfactory":[61],"updating":[62],"strategy.":[63],"To":[64],"tackle":[65],"these":[66],"problems,":[67],"we":[68,119],"propose":[69],"manifold":[71,86,94,116,135],"that":[77,169,179],"can":[78,144],"simultaneously":[79],"utilize":[80],"geometric":[83],"A":[85],"sample":[87,101,117],"pool":[88,102],"constructed":[90],"to":[91,148,172],"exploit":[92],"structure":[95],"image":[97,151],"object":[98],"sequences.":[99],"This":[100],"dynamically":[104],"learned":[105],"via":[106],"fast":[108],"Gaussian":[109],"mixture":[110],"model":[111,174],"(GMM).":[112],"After":[113],"obtaining":[114],"template,":[118],"design":[120],"deep":[122],"architecture":[123],"based":[124],"on":[125,191],"correlation":[127],"filter":[128],"(CF)":[129],"append":[132],"novel":[134],"feature":[136],"branch.":[137],"The":[138],"remains":[140],"fully":[141],"convolutional":[142],"train":[145],"discriminate":[149],"exemplar":[150],"arbitrarily":[153],"size":[154],"search":[155],"image.":[156],"Then,":[157],"triplet":[159],"occlusion":[160],"score":[161],"function":[162],"cooperates":[163],"with":[164,187],"effective":[166],"update":[167],"method":[168],"established":[171],"prevent":[173],"drift.":[175],"Extensive":[176],"experiments":[177],"show":[178],"proposed":[181],"algorithm":[183],"performs":[184],"favorably":[185],"compared":[186],"state-of-the-art":[189],"methods":[190],"three":[192],"standard":[193],"benchmark":[194],"datasets":[195],"at":[196],"high":[198],"framerate,":[199],"very":[202],"suitable":[203],"driving.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
