{"id":"https://openalex.org/W4200318861","doi":"https://doi.org/10.3390/sym13122329","title":"Discriminative Siamese Tracker Based on Multi-Channel-Aware and Adaptive Hierarchical Deep Features","display_name":"Discriminative Siamese Tracker Based on Multi-Channel-Aware and Adaptive Hierarchical Deep Features","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4200318861","doi":"https://doi.org/10.3390/sym13122329"},"language":"en","primary_location":{"id":"doi:10.3390/sym13122329","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13122329","pdf_url":"https://www.mdpi.com/2073-8994/13/12/2329/pdf?version=1638694505","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/13/12/2329/pdf?version=1638694505","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005591242","display_name":"Huanlong Zhang","orcid":"https://orcid.org/0000-0002-5130-5555"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanlong Zhang","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088135330","display_name":"Rui Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Duan","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016496292","display_name":"Anping Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Anping Zheng","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436609","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0001-5946-8319"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721233","display_name":"Linwei Li","orcid":"https://orcid.org/0000-0001-8447-9669"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linwei Li","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100763019","display_name":"Fengxian Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengxian Wang","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China","institution_ids":["https://openalex.org/I23171815"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5016496292"],"corresponding_institution_ids":["https://openalex.org/I23171815"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.0969,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42774014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":"12","first_page":"2329","last_page":"2329"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9890999794006348,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9873999953269958,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8516051173210144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7651592493057251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7580870389938354},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7532511353492737},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.690375030040741},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6114311218261719},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5576404333114624},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5519055724143982},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.46062177419662476},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4109300971031189},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.18499383330345154}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8516051173210144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7651592493057251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7580870389938354},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7532511353492737},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.690375030040741},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6114311218261719},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5576404333114624},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5519055724143982},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.46062177419662476},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4109300971031189},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.18499383330345154},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym13122329","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13122329","pdf_url":"https://www.mdpi.com/2073-8994/13/12/2329/pdf?version=1638694505","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:47b5625950a14c45a45b1d6fcfaf9b89","is_oa":true,"landing_page_url":"https://doaj.org/article/47b5625950a14c45a45b1d6fcfaf9b89","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 13, Iss 12, p 2329 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/13/12/2329/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym13122329","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym13122329","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13122329","pdf_url":"https://www.mdpi.com/2073-8994/13/12/2329/pdf?version=1638694505","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G1134278353","display_name":null,"funder_award_id":"202300410495","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"},{"id":"https://openalex.org/G6390120262","display_name":null,"funder_award_id":"61873246, 62072416, 6167241, 61702462","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/F4320323845","display_name":"Natural Science Foundation of Henan Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200318861.pdf","grobid_xml":"https://content.openalex.org/works/W4200318861.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W818325216","https://openalex.org/W1854404533","https://openalex.org/W1857884451","https://openalex.org/W1915785815","https://openalex.org/W1964846093","https://openalex.org/W2034938692","https://openalex.org/W2066757459","https://openalex.org/W2089961441","https://openalex.org/W2117539524","https://openalex.org/W2137330118","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2211629196","https://openalex.org/W2214352687","https://openalex.org/W2244956674","https://openalex.org/W2343187456","https://openalex.org/W2470394683","https://openalex.org/W2473868734","https://openalex.org/W2518013266","https://openalex.org/W2518876086","https://openalex.org/W2520477759","https://openalex.org/W2557641257","https://openalex.org/W2673818281","https://openalex.org/W2681067697","https://openalex.org/W2740685955","https://openalex.org/W2768634781","https://openalex.org/W2776035257","https://openalex.org/W2781948176","https://openalex.org/W2797812763","https://openalex.org/W2799058067","https://openalex.org/W2884030607","https://openalex.org/W2898200825","https://openalex.org/W2902767594","https://openalex.org/W2914856999","https://openalex.org/W2924139607","https://openalex.org/W2949387425","https://openalex.org/W2955058313","https://openalex.org/W2962972233","https://openalex.org/W2962997029","https://openalex.org/W2963030525","https://openalex.org/W2963051855","https://openalex.org/W2963471260","https://openalex.org/W2963499285","https://openalex.org/W2963854930","https://openalex.org/W2964069521","https://openalex.org/W2964111344","https://openalex.org/W2964253307","https://openalex.org/W2972833696","https://openalex.org/W2981207549","https://openalex.org/W2997780656","https://openalex.org/W3001535549","https://openalex.org/W3030006663","https://openalex.org/W3041551881","https://openalex.org/W3123635396","https://openalex.org/W3168663926","https://openalex.org/W3169429784","https://openalex.org/W3201459505","https://openalex.org/W3203510176","https://openalex.org/W6679027886"],"related_works":["https://openalex.org/W2803618243","https://openalex.org/W256589335","https://openalex.org/W3020706491","https://openalex.org/W2012200063","https://openalex.org/W2804764393","https://openalex.org/W4385454113","https://openalex.org/W4386114301","https://openalex.org/W4386158955","https://openalex.org/W2914048681","https://openalex.org/W2806679586"],"abstract_inverted_index":{"Most":[0],"existing":[1],"Siamese":[2,35,157,163,204],"trackers":[3],"mainly":[4],"use":[5],"a":[6,53,170],"pre-trained":[7,28],"convolutional":[8],"neural":[9,174],"network":[10,164,175],"to":[11,17,61,92,117,132,140,212],"extract":[12],"target":[13,23,48,87,160,194],"features.":[14],"However,":[15],"due":[16],"the":[18,22,31,34,63,67,71,76,86,101,107,118,126,134,143,146,149,156,183,191,202,213],"weak":[19],"discrimination":[20],"of":[21,27,33,66,79,109,121,145,193,209],"and":[24,55,89,180],"background":[25],"information":[26],"depth":[29],"features,":[30],"performance":[32],"tracker":[36,205],"can":[37,113,129,137],"be":[38,114,130],"significantly":[39],"degraded":[40],"when":[41],"facing":[42],"similar":[43],"targets":[44],"or":[45],"changes":[46,141],"in":[47,142,166,190],"appearance.":[49],"This":[50],"paper":[51,168],"proposes":[52],"multi-channel-aware":[54,72],"adaptive":[56,102],"hierarchical":[57,103,127],"deep":[58,73,104],"features":[59,74,105,128],"module":[60],"enhance":[62],"discriminative":[64],"ability":[65],"tracker.":[68,215],"Firstly,":[69],"through":[70],"module,":[75,106],"importance":[77,108],"values":[78],"feature":[80,96,111],"channels":[81],"are":[82,153,187],"obtained":[83],"from":[84],"both":[85],"details":[88],"overall":[90],"information,":[91],"identify":[93],"more":[94],"important":[95],"channels.":[97],"Secondly,":[98],"by":[99],"introducing":[100],"each":[110,122],"layer":[112],"determined":[115],"according":[116],"response":[119],"value":[120],"frame,":[123],"so":[124],"that":[125,201],"integrated":[131,154],"represent":[133],"target,":[135],"which":[136,186],"better":[138],"adapt":[139],"appearance":[144],"target.":[147],"Finally,":[148],"proposed":[150,203],"two":[151,177],"modules":[152],"into":[155],"framework":[158],"for":[159],"tracking.":[161,195],"The":[162],"used":[165,189],"this":[167],"is":[169],"two-input":[171],"branch":[172],"symmetric":[173],"with":[176],"input":[178],"branches,":[179],"they":[181],"share":[182],"same":[184],"weights,":[185],"widely":[188],"field":[192],"Experiments":[196],"on":[197],"some":[198],"Benchmarks":[199],"show":[200],"has":[206],"several":[207],"points":[208],"improvement":[210],"compared":[211],"baseline":[214]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
