{"id":"https://openalex.org/W2804029941","doi":"https://doi.org/10.1109/access.2018.2836921","title":"MPNET: An End-to-End Deep Neural Network for Object Detection in Surveillance Video","display_name":"MPNET: An End-to-End Deep Neural Network for Object Detection in Surveillance Video","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2804029941","doi":"https://doi.org/10.1109/access.2018.2836921","mag":"2804029941"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2836921","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2836921","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2836921","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101740163","display_name":"Hanyu Wang","orcid":"https://orcid.org/0009-0002-5331-2473"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanyu Wang","raw_affiliation_strings":["School of Electronics and Information Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338689","display_name":"Ping Wang","orcid":"https://orcid.org/0000-0002-8854-2079"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Wang","raw_affiliation_strings":["School of Electronics and Information Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014825654","display_name":"Xueming Qian","orcid":"https://orcid.org/0000-0002-3173-6307"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueming Qian","raw_affiliation_strings":["School of Electronics and Information Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101740163"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.275,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.84964205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"30296","last_page":"30308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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":0.8595688343048096},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7469812631607056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6923919916152954},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6778052449226379},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6252528429031372},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5727367401123047},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.544601321220398},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5437759757041931},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.5405101180076599},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5383781790733337},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.48450514674186707},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4796895682811737},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4765070974826813},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4721180200576782},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4228883981704712},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42262566089630127},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38782232999801636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3802807927131653}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8595688343048096},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7469812631607056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6923919916152954},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6778052449226379},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6252528429031372},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5727367401123047},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.544601321220398},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5437759757041931},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.5405101180076599},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5383781790733337},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.48450514674186707},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4796895682811737},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4765070974826813},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4721180200576782},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4228883981704712},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42262566089630127},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38782232999801636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3802807927131653},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2836921","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2836921","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:95b78e62a75f49e2ad863c2a2a8701a3","is_oa":true,"landing_page_url":"https://doaj.org/article/95b78e62a75f49e2ad863c2a2a8701a3","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 30296-30308 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2836921","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2836921","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1964643216","display_name":null,"funder_award_id":"2017YFF0107700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2339119785","display_name":null,"funder_award_id":"u1531141","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2863134662","display_name":null,"funder_award_id":"2017A010101006","funder_id":"https://openalex.org/F4320324202","funder_display_name":"Guangdong Science and Technology Department"},{"id":"https://openalex.org/G3308505718","display_name":null,"funder_award_id":"61732008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7987947441","display_name":null,"funder_award_id":"61772407","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/F4320324202","display_name":"Guangdong Science and Technology Department","ror":"https://ror.org/00tjzgn92"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W95926497","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1952794764","https://openalex.org/W1973054923","https://openalex.org/W1989939047","https://openalex.org/W2019304914","https://openalex.org/W2031454541","https://openalex.org/W2031489346","https://openalex.org/W2041346029","https://openalex.org/W2083151982","https://openalex.org/W2088049833","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2105557521","https://openalex.org/W2125556102","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2179352600","https://openalex.org/W2335901184","https://openalex.org/W2336589871","https://openalex.org/W2515655118","https://openalex.org/W2557728737","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2590174509","https://openalex.org/W2780214958","https://openalex.org/W2790536738","https://openalex.org/W2962685937","https://openalex.org/W2962917547","https://openalex.org/W2962992847","https://openalex.org/W2963037989","https://openalex.org/W2963441581","https://openalex.org/W2964286567","https://openalex.org/W3098722327","https://openalex.org/W3100591638","https://openalex.org/W3100935401","https://openalex.org/W3106250896","https://openalex.org/W6600313631","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6639204139","https://openalex.org/W6684191040","https://openalex.org/W6697462184","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2151749779","https://openalex.org/W3179968364","https://openalex.org/W1999612375","https://openalex.org/W2938107654","https://openalex.org/W3166204570","https://openalex.org/W3121246613","https://openalex.org/W2132137594","https://openalex.org/W2093537624","https://openalex.org/W4321784794","https://openalex.org/W3173456895"],"abstract_inverted_index":{"Object":[0],"detection":[1,141],"is":[2],"one":[3],"of":[4,22,47,61,111,117,127,148],"the":[5,20,45,59,65,71,92,109,125,140,146,149,179],"most":[6],"important":[7],"topics":[8],"in":[9,31,54,114],"computer":[10],"vision":[11],"task":[12],"and":[13,86,95,120,143,170],"has":[14,35],"obtained":[15],"impressive":[16],"performance":[17,38],"thanks":[18],"to":[19,90,124,138,158],"use":[21],"deep":[23],"convolutional":[24],"neural":[25],"network.":[26],"For":[27],"object":[28],"detection,":[29],"especially":[30],"still":[32],"image,":[33],"it":[34],"achieved":[36],"excellent":[37],"during":[39],"past":[40],"two":[41],"years,":[42],"such":[43],"as":[44],"series":[46],"R-CNN":[48],"which":[49,100],"plays":[50],"a":[51,79],"vital":[52],"role":[53],"improving":[55],"performance.":[56],"However,":[57],"with":[58],"number":[60],"surveillance":[62],"videos":[63],"increasing,":[64],"current":[66],"methods":[67],"may":[68],"not":[69,132],"meet":[70],"growing":[72],"demand.":[73],"In":[74,105],"this":[75],"paper,":[76],"we":[77,107,134],"propose":[78],"new":[80],"framework":[81,88,154],"named":[82],"moving-object":[83],"proposals":[84,99],"generation":[85],"prediction":[87],"(MPGP)":[89],"reduce":[91,102],"searching":[93],"space":[94],"generate":[96],"some":[97],"accurate":[98],"can":[101,155],"computational":[103],"cost.":[104],"addition,":[106],"explore":[108],"relation":[110],"moving":[112],"regions":[113],"feature":[115],"map":[116],"different":[118,159],"layers":[119],"predict":[121],"candidates":[122],"according":[123],"results":[126],"previous":[128],"frames.":[129],"Last":[130],"but":[131],"least,":[133],"utilize":[135],"spatial-temporal":[136],"information":[137],"strengthen":[139],"score":[142],"further":[144],"adjust":[145],"location":[147],"bounding":[150],"boxes.":[151],"Our":[152],"MPGP":[153],"be":[156],"applied":[157],"region-based":[160],"networks.":[161],"Experiments":[162],"on":[163],"CUHK":[164],"data":[165,168,172],"set,":[166,169,173],"XJTU":[167],"AVSS":[171],"show":[174],"that":[175],"our":[176],"approach":[177],"outperforms":[178],"state-of-the-art":[180],"approaches.":[181]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}