{"id":"https://openalex.org/W2043862168","doi":"https://doi.org/10.1109/icarcv.2014.7064408","title":"A low-complexity visual tracking approach with single hidden layer neural networks","display_name":"A low-complexity visual tracking approach with single hidden layer neural networks","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2043862168","doi":"https://doi.org/10.1109/icarcv.2014.7064408","mag":"2043862168"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2014.7064408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2014.7064408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 13th International Conference on Control Automation Robotics &amp; Vision (ICARCV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101988313","display_name":"Liang Dai","orcid":"https://orcid.org/0000-0002-5959-6828"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Dai","raw_affiliation_strings":["Lab of Communication and Information Security, Peking University, China","Lab of Communication and Information Security, Institute of Big Data Technologies, Shenzhen Graduate School, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Communication and Information Security, Peking University, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Lab of Communication and Information Security, Institute of Big Data Technologies, Shenzhen Graduate School, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056706680","display_name":"Yuesheng Zhu","orcid":"https://orcid.org/0000-0003-2524-6800"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuesheng Zhu","raw_affiliation_strings":["Lab of Communication and Information Security, Peking University, China","Lab of Communication and Information Security, Institute of Big Data Technologies, Shenzhen Graduate School, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Communication and Information Security, Peking University, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Lab of Communication and Information Security, Institute of Big Data Technologies, Shenzhen Graduate School, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057015645","display_name":"Guibo Luo","orcid":"https://orcid.org/0000-0002-1709-1207"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guibo Luo","raw_affiliation_strings":["Lab of Communication and Information Security, Peking University, China","Lab of Communication and Information Security, Institute of Big Data Technologies, Shenzhen Graduate School, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Communication and Information Security, Peking University, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Lab of Communication and Information Security, Institute of Big Data Technologies, Shenzhen Graduate School, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103712175","display_name":"Chao He","orcid":"https://orcid.org/0009-0001-6040-9831"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao He","raw_affiliation_strings":["Lab of Communication and Information Security, Peking University, China","Lab of Communication and Information Security, Institute of Big Data Technologies, Shenzhen Graduate School, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Communication and Information Security, Peking University, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Lab of Communication and Information Security, Institute of Big Data Technologies, Shenzhen Graduate School, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"810","last_page":"814"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.992900013923645,"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":0.991100013256073,"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":0.7978896498680115},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.767309308052063},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7272006273269653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7045754194259644},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6243089437484741},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5818955302238464},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5595930218696594},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5207538604736328},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49715927243232727},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4890669286251068},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4757751524448395},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4599541425704956},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4436590373516083},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.42160555720329285},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39755576848983765},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3928059935569763},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3463370203971863},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17415708303451538}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7978896498680115},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.767309308052063},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7272006273269653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7045754194259644},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6243089437484741},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5818955302238464},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5595930218696594},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5207538604736328},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49715927243232727},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4890669286251068},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4757751524448395},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4599541425704956},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4436590373516083},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.42160555720329285},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39755576848983765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3928059935569763},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3463370203971863},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17415708303451538},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2014.7064408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2014.7064408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 13th International Conference on Control Automation Robotics &amp; Vision (ICARCV)","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":23,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W95577512","https://openalex.org/W2000326692","https://openalex.org/W2060814785","https://openalex.org/W2098854771","https://openalex.org/W2098941887","https://openalex.org/W2109579504","https://openalex.org/W2118097920","https://openalex.org/W2134797427","https://openalex.org/W2137983211","https://openalex.org/W2139047213","https://openalex.org/W2145094598","https://openalex.org/W2145607950","https://openalex.org/W2158917775","https://openalex.org/W2165037244","https://openalex.org/W2952881492","https://openalex.org/W2986028972","https://openalex.org/W2997574889","https://openalex.org/W6601785968","https://openalex.org/W6677907805","https://openalex.org/W6681096077","https://openalex.org/W6683636472","https://openalex.org/W6684332838"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W2909390414","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W178060743","https://openalex.org/W3104472694","https://openalex.org/W2141888607","https://openalex.org/W2753886513","https://openalex.org/W1765993298"],"abstract_inverted_index":{"Visual":[0],"tracking":[1,55,92],"algorithms":[2],"based":[3,65,111],"on":[4,66,112],"deep":[5,17,34,113],"learning":[6,18,35],"have":[7,97],"robust":[8],"performance":[9],"against":[10],"variations":[11],"in":[12],"a":[13,52],"complex":[14],"environment":[15],"because":[16],"can":[19],"learn":[20],"generic":[21],"features":[22],"from":[23,38],"numerous":[24],"unlabeled":[25],"images.":[26],"However,":[27],"due":[28],"to":[29,79],"the":[30,33,72,81,90,100,109],"multilayer":[31],"architecture,":[32],"trackers":[36,110],"suffer":[37],"expensive":[39],"computational":[40,73],"costs":[41],"and":[42,83,115],"are":[43,87],"not":[44],"suitable":[45],"for":[46,118],"real-time":[47,119],"applications.":[48],"In":[49],"this":[50],"paper,":[51],"low-complexity":[53],"visual":[54],"scheme":[56],"with":[57,121],"single":[58],"hidden":[59],"layer":[60],"neural":[61],"network":[62],"is":[63,77,103],"proposed":[64,101],"denoising":[67],"autoencoder.":[68],"To":[69],"further":[70],"reduce":[71],"costs,":[74],"feature":[75],"selection":[76],"applied":[78],"simplify":[80],"networks":[82],"two":[84],"optimization":[85],"methods":[86],"used":[88],"during":[89],"online":[91],"process.":[93],"The":[94],"experimental":[95],"results":[96],"demonstrated":[98],"that":[99],"algorithm":[102],"about":[104],"six":[105],"times":[106],"faster":[107],"than":[108],"nets":[114],"rapid":[116],"enough":[117],"applications":[120],"encouraging":[122],"accuracy.":[123]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
