{"id":"https://openalex.org/W3110255383","doi":"https://doi.org/10.3390/sym12121965","title":"Moving Object Detection Based on Background Compensation and Deep Learning","display_name":"Moving Object Detection Based on Background Compensation and Deep Learning","publication_year":2020,"publication_date":"2020-11-27","ids":{"openalex":"https://openalex.org/W3110255383","doi":"https://doi.org/10.3390/sym12121965","mag":"3110255383"},"language":"en","primary_location":{"id":"doi:10.3390/sym12121965","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym12121965","pdf_url":"https://www.mdpi.com/2073-8994/12/12/1965/pdf?version=1606492375","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/2073-8994/12/12/1965/pdf?version=1606492375","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062870826","display_name":"Juncai Zhu","orcid":"https://orcid.org/0000-0001-9222-712X"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juncai Zhu","raw_affiliation_strings":["School of Electrical Engineering, Zhengzhou University, Zhengzhou 450000, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Zhengzhou University, Zhengzhou 450000, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687859","display_name":"Zhizhong Wang","orcid":"https://orcid.org/0000-0002-2967-811X"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhizhong Wang","raw_affiliation_strings":["School of Electrical Engineering, Zhengzhou University, Zhengzhou 450000, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Zhengzhou University, Zhengzhou 450000, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101752361","display_name":"Songwei Wang","orcid":"https://orcid.org/0000-0001-7593-9045"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songwei Wang","raw_affiliation_strings":["School of Electrical Engineering, Zhengzhou University, Zhengzhou 450000, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Zhengzhou University, Zhengzhou 450000, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101891934","display_name":"Shuli Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuli Chen","raw_affiliation_strings":["School of Electrical Engineering, Zhengzhou University, Zhengzhou 450000, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Zhengzhou University, Zhengzhou 450000, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101891934"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":2.2567,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.90292553,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"12","issue":"12","first_page":"1965","last_page":"1965"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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":0.9973999857902527,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8802648782730103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8277076482772827},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8032329082489014},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6449592113494873},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.611072838306427},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5318856835365295},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5183038115501404},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.441652774810791},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.40561291575431824},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3761841654777527}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8802648782730103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8277076482772827},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8032329082489014},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6449592113494873},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.611072838306427},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5318856835365295},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5183038115501404},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.441652774810791},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.40561291575431824},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3761841654777527}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym12121965","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym12121965","pdf_url":"https://www.mdpi.com/2073-8994/12/12/1965/pdf?version=1606492375","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:328167bf46fe43188ffc33d73098ad9b","is_oa":true,"landing_page_url":"https://doaj.org/article/328167bf46fe43188ffc33d73098ad9b","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 12, Iss 12, p 1965 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/12/12/1965/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym12121965","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/sym12121965","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym12121965","pdf_url":"https://www.mdpi.com/2073-8994/12/12/1965/pdf?version=1606492375","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":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4498107806","display_name":null,"funder_award_id":"61673353","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5083768948","display_name":null,"funder_award_id":"6167335","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3110255383.pdf","grobid_xml":"https://content.openalex.org/works/W3110255383.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1496571393","https://openalex.org/W1532362218","https://openalex.org/W1575950579","https://openalex.org/W1677409904","https://openalex.org/W1857884451","https://openalex.org/W1996554659","https://openalex.org/W2021098459","https://openalex.org/W2074719296","https://openalex.org/W2078660975","https://openalex.org/W2085261163","https://openalex.org/W2110861314","https://openalex.org/W2120981003","https://openalex.org/W2124130551","https://openalex.org/W2131796537","https://openalex.org/W2132103241","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2267575075","https://openalex.org/W2294874601","https://openalex.org/W2295430117","https://openalex.org/W2341342588","https://openalex.org/W2376352092","https://openalex.org/W2557641257","https://openalex.org/W2565639579","https://openalex.org/W2603203130","https://openalex.org/W2765707703","https://openalex.org/W2796347433","https://openalex.org/W2811402098","https://openalex.org/W2890158535","https://openalex.org/W2940797985","https://openalex.org/W2956051284","https://openalex.org/W2963037989","https://openalex.org/W2963846024","https://openalex.org/W3106250896","https://openalex.org/W6693630873"],"related_works":["https://openalex.org/W2969228573","https://openalex.org/W2963690996","https://openalex.org/W3162303681","https://openalex.org/W2112895338","https://openalex.org/W3204216905","https://openalex.org/W2017155773","https://openalex.org/W2911525783","https://openalex.org/W4376454785","https://openalex.org/W188808486","https://openalex.org/W3158873841"],"abstract_inverted_index":{"Detecting":[0],"moving":[1,18,24,39,69,98,135,164],"objects":[2,19,40,83,99,165],"in":[3,11,41,63,84,124,166],"a":[4,26,34,45,49,73],"video":[5],"sequence":[6],"is":[7,23,25,53,88,129],"an":[8],"important":[9],"problem":[10],"many":[12],"vision-based":[13],"applications.":[14],"In":[15,29],"particular,":[16],"detecting":[17,38,81],"when":[20],"the":[21,42,57,68,85,97,104,119,145,158],"camera":[22],"difficult":[27],"problem.":[28],"this":[30],"study,":[31],"we":[32,71,142],"propose":[33,72],"symmetric":[35],"method":[36,52,77],"for":[37,80,93,134],"presence":[43],"of":[44,60],"dynamic":[46],"background.":[47],"First,":[48],"background":[50],"compensation":[51],"used":[54],"to":[55,65,118],"detect":[56,163],"proposed":[58,159],"region":[59],"motion.":[61],"Next,":[62],"order":[64],"accurately":[66,162],"locate":[67],"objects,":[70],"convolutional":[74],"neural":[75],"network-based":[76],"called":[78],"YOLOv3-SOD":[79],"all":[82],"image,":[86],"which":[87],"lightweight":[89],"and":[90,110,121,138,140],"specifically":[91,133],"designed":[92],"small":[94],"objects.":[95],"Finally,":[96],"are":[100,115],"determined":[101],"by":[102,107],"fusing":[103],"results":[105],"obtained":[106],"motion":[108],"detection":[109,137],"object":[111,136],"detection.":[112],"Missed":[113],"detections":[114],"recalled":[116],"according":[117],"temporal":[120],"spatial":[122],"information":[123],"adjacent":[125],"frames.":[126],"A":[127],"dataset":[128,147],"not":[130],"currently":[131],"available":[132],"recognition,":[139],"thus,":[141],"have":[143],"released":[144],"MDR105":[146],"comprising":[148],"three":[149],"classes":[150],"with":[151,169],"105":[152],"videos.":[153],"Our":[154],"experiments":[155],"demonstrated":[156],"that":[157],"algorithm":[160],"can":[161],"various":[167],"scenarios":[168],"good":[170],"overall":[171],"performance.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}