{"id":"https://openalex.org/W4226206941","doi":"https://doi.org/10.1145/3507548.3507555","title":"Target tracking by improved ECO","display_name":"Target tracking by improved ECO","publication_year":2021,"publication_date":"2021-12-04","ids":{"openalex":"https://openalex.org/W4226206941","doi":"https://doi.org/10.1145/3507548.3507555"},"language":"en","primary_location":{"id":"doi:10.1145/3507548.3507555","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3507548.3507555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Computer Science and Artificial Intelligence","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/A5109759744","display_name":"Jiaojiao Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"JiaoJiao Xing","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023643105","display_name":"Xianmei Wang","orcid":"https://orcid.org/0000-0002-6273-3096"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"XianMei Wang","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":null,"display_name":"Peng Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Hou","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109759744"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1927345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"49"},"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":0.9753000140190125,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9700000286102295,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7911031246185303},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7150137424468994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6808390617370605},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5492085814476013},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.542500913143158},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.539706826210022},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5348139405250549},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5297722816467285},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.48234695196151733},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4800321161746979},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.45236629247665405},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.450010746717453},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43333736062049866},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.41674262285232544},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.41153252124786377},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4034045934677124},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12199094891548157}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7911031246185303},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7150137424468994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6808390617370605},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5492085814476013},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.542500913143158},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.539706826210022},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5348139405250549},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5297722816467285},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.48234695196151733},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4800321161746979},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.45236629247665405},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.450010746717453},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43333736062049866},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.41674262285232544},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.41153252124786377},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4034045934677124},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12199094891548157},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3507548.3507555","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3507548.3507555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W1857884451","https://openalex.org/W1997121481","https://openalex.org/W2098941887","https://openalex.org/W2147533695","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2560835477","https://openalex.org/W2799058067","https://openalex.org/W2886910176","https://openalex.org/W2897666265","https://openalex.org/W2942992487","https://openalex.org/W2964253307","https://openalex.org/W2964423614"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W178060743","https://openalex.org/W2909390414","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W2141888607","https://openalex.org/W2753886513","https://openalex.org/W2070920257","https://openalex.org/W1765993298"],"abstract_inverted_index":{"ECO":[0,122],"based":[1],"trackers":[2],"have":[3],"achieved":[4],"excellent":[5],"performance":[6,113],"on":[7,98],"visual":[8],"object":[9],"tracking.":[10,26],"However,":[11],"Illumination":[12],"variation":[13],"and":[14,50,70],"other":[15],"factors":[16],"still":[17],"are":[18,102],"challenging":[19,99],"research":[20],"problems":[21],"in":[22,114],"the":[23,36,120],"process":[24],"of":[25,53,66,81,88],"Moreover,":[27],"traditional":[28],"neural":[29],"networks":[30],"also":[31],"face":[32],"information":[33],"loss":[34],"during":[35],"transmission":[37],"process.":[38],"In":[39,74],"this":[40],"paper,":[41],"we":[42,76],"introduce":[43],"a":[44],"new":[45],"feature":[46],"fusion":[47],"(HE,":[48],"FHOG-Encoder)":[49],"update":[51,93],"strategy":[52,80],"learning":[54,82],"rate.":[55],"We":[56],"propose":[57],"an":[58,78],"encoder":[59],"network":[60],"to":[61,91],"extract":[62],"features,":[63],"which":[64],"consists":[65],"two":[67],"convolutional":[68],"layers":[69],"three":[71],"residual":[72],"units.":[73],"addition,":[75],"design":[77],"updating":[79],"rate,":[83],"by":[84],"computing":[85],"absolute":[86],"difference":[87],"inter-frame":[89],"pixel,":[90],"effectively":[92],"sample":[94],"space":[95],"model.":[96],"Experiments":[97],"benchmarks":[100],"OTB-100":[101],"carried":[103],"out.":[104],"Experimental":[105],"results":[106],"show":[107],"that":[108],"our":[109],"tracker":[110],"achieves":[111],"superior":[112],"some":[115],"special":[116],"cases,":[117],"compared":[118],"with":[119],"original":[121],"tracker.":[123]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}