{"id":"https://openalex.org/W2005965681","doi":"https://doi.org/10.1109/icme.2014.6890140","title":"Motion detection via a couple of auto-encoder networks","display_name":"Motion detection via a couple of auto-encoder networks","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2005965681","doi":"https://doi.org/10.1109/icme.2014.6890140","mag":"2005965681"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2014.6890140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2014.6890140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Multimedia and Expo (ICME)","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/A5060753420","display_name":"Pei Xu","orcid":"https://orcid.org/0000-0001-7851-3971"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Xu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China","School of Computer Science and Engineering, Robotics Institute, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Robotics Institute, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682790","display_name":"Mao Ye","orcid":"https://orcid.org/0000-0003-4760-8702"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao Ye","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China","School of Computer Science and Engineering, Robotics Institute, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Robotics Institute, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073705151","display_name":"Qihe Liu","orcid":"https://orcid.org/0000-0002-8195-1304"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihe Liu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China","School of Computer Science and Engineering, Robotics Institute, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Robotics Institute, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354485","display_name":"Xudong Li","orcid":"https://orcid.org/0000-0001-8246-3663"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Li","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China","School of Computer Science and Engineering, Robotics Institute, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Robotics Institute, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040382897","display_name":"Lishen Pei","orcid":"https://orcid.org/0000-0002-4663-870X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lishen Pei","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China","School of Computer Science and Engineering, Robotics Institute, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Robotics Institute, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070798635","display_name":"Jian Ding","orcid":"https://orcid.org/0000-0002-7188-5884"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Ding","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China","School of Computer Science and Engineering, Robotics Institute, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Robotics Institute, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4944,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.6850572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"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":0.8260685205459595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7302207350730896},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6925666332244873},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6856064796447754},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6233679056167603},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5618457198143005},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.534065306186676},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44492462277412415},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3319319486618042}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8260685205459595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7302207350730896},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6925666332244873},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6856064796447754},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6233679056167603},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5618457198143005},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.534065306186676},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44492462277412415},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3319319486618042},{"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/icme.2014.6890140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2014.6890140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1487980058","https://openalex.org/W1530138209","https://openalex.org/W1608074891","https://openalex.org/W1999192586","https://openalex.org/W2021345820","https://openalex.org/W2025768430","https://openalex.org/W2052141951","https://openalex.org/W2054814877","https://openalex.org/W2059639989","https://openalex.org/W2095581126","https://openalex.org/W2102625004","https://openalex.org/W2110798204","https://openalex.org/W2118859514","https://openalex.org/W2122423951","https://openalex.org/W2132450036","https://openalex.org/W2136922672","https://openalex.org/W2145962650","https://openalex.org/W2150489380","https://openalex.org/W2156547346","https://openalex.org/W2158604775","https://openalex.org/W2165310684","https://openalex.org/W2168813398","https://openalex.org/W2538773003","https://openalex.org/W3023802502","https://openalex.org/W6629269813","https://openalex.org/W6636600324","https://openalex.org/W6664357448","https://openalex.org/W6676481782","https://openalex.org/W6684408796","https://openalex.org/W6728784960"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2145836866","https://openalex.org/W2734887215","https://openalex.org/W2669956259","https://openalex.org/W4249005693"],"abstract_inverted_index":{"Motion":[0],"detection":[1,13,148],"is":[2,40,68,133],"a":[3,35,65,125],"basis":[4],"step":[5],"for":[6],"video":[7,62],"processing.":[8],"Previous":[9],"works":[10],"of":[11,105,108,127,139],"motion":[12,147],"based":[14,42,70],"on":[15,43,71,150],"deep":[16],"learning":[17,121],"need":[18],"clean":[19],"foreground":[20],"or":[21],"background":[22,50,66,87,115],"images":[23,51,73],"which":[24,111,124],"always":[25],"do":[26],"not":[27],"exist":[28],"in":[29,123],"practice.":[30],"To":[31,82],"address":[32],"this":[33],"challenge,":[34],"novel":[36],"and":[37],"practical":[38],"method":[39,126],"proposed":[41],"auto-encoder":[44,56,77,109],"neural":[45],"networks.":[46],"First,":[47],"the":[48,103,106,114,119,129,137,140,146],"approximate":[49],"are":[52,101],"obtained":[53],"via":[54],"an":[55],"network":[57,78],"(called":[58,79],"Reconstruction":[59,141],"Network)":[60],"from":[61],"frames.":[63],"Then,":[64],"model":[67,88,113],"learned":[69],"these":[72],"by":[74],"using":[75],"another":[76],"Background":[80],"Network).":[81],"be":[83,90],"more":[84,95],"resilient,":[85],"our":[86],"can":[89,112],"updated":[91],"on-line":[92],"to":[93,135],"absorb":[94],"training":[96,138],"samples.":[97],"Our":[98,143],"main":[99],"contributions":[100],"1)":[102],"architecture":[104],"couple":[107],"networks":[110],"very":[116],"efficiently;":[117],"2)":[118],"online":[120],"algorithm":[122],"searching":[128],"minimizing":[130],"effect":[131],"parameters":[132],"adopted":[134],"accelerate":[136],"Network.":[142],"approach":[144],"improves":[145],"performance":[149],"three":[151],"data":[152],"sets.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}