{"id":"https://openalex.org/W2960081084","doi":null,"title":"Motion Event Recognition Using User Feedback","display_name":"Motion Event Recognition Using User Feedback","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2960081084","mag":"2960081084"},"language":"en","primary_location":{"id":"pmh:oai:lup-student-papers.lub.lu.se:8964356","doi":null,"is_oa":true,"landing_page_url":"http://lup.lub.lu.se/student-papers/record/8964356","pdf_url":"http://lup.lub.lu.se/student-papers/record/8964356","source":{"id":"https://openalex.org/S4306402420","display_name":"Lund University Publications Student Papers (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"H2"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://lup.lub.lu.se/student-papers/record/8964356","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052619392","display_name":"Hannes J\u00f6nsson","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hannes J\u00f6nsson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5052619392"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9779999852180481,"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":0.9779999852180481,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.012600000016391277,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/video-surveillance","display_name":"video surveillance","score":0.7509999871253967},{"id":"https://openalex.org/keywords/false-alarm-reduction","display_name":"false alarm reduction","score":0.9150000214576721},{"id":"https://openalex.org/keywords/user-feedback","display_name":"user feedback","score":0.9629999995231628},{"id":"https://openalex.org/keywords/one-class-svm","display_name":"one-class support vector machine","score":0.8600000143051147},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.7789999842643738},{"id":"https://openalex.org/keywords/limited-training-data","display_name":"limited training data","score":0.7020000219345093},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.3479999899864197},{"id":"https://openalex.org/keywords/human-machine-interaction","display_name":"human-machine interaction","score":0.4560000002384186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7354772686958313},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6265118718147278},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5845736861228943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5766523480415344},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5709009766578674},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5573093891143799},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5476972460746765},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42470207810401917},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.408441960811615},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3661179840564728},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:lup-student-papers.lub.lu.se:8964356","doi":null,"is_oa":true,"landing_page_url":"http://lup.lub.lu.se/student-papers/record/8964356","pdf_url":"http://lup.lub.lu.se/student-papers/record/8964356","source":{"id":"https://openalex.org/S4306402420","display_name":"Lund University Publications Student Papers (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"H2"},{"id":"mag:2960081084","doi":null,"is_oa":false,"landing_page_url":"https://lup.lub.lu.se/student-papers/record/8964356/file/8964432.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:lup-student-papers.lub.lu.se:8964356","doi":null,"is_oa":true,"landing_page_url":"http://lup.lub.lu.se/student-papers/record/8964356","pdf_url":"http://lup.lub.lu.se/student-papers/record/8964356","source":{"id":"https://openalex.org/S4306402420","display_name":"Lund University Publications Student Papers (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"H2"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2960081084.pdf","grobid_xml":"https://content.openalex.org/works/W2960081084.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W143162329","https://openalex.org/W1757796397","https://openalex.org/W1823976324","https://openalex.org/W1970088130","https://openalex.org/W2001619934","https://openalex.org/W2101234009","https://openalex.org/W2112796928","https://openalex.org/W2612445135","https://openalex.org/W2953391683"],"related_works":["https://openalex.org/W1584112019","https://openalex.org/W2949513940","https://openalex.org/W2079155585","https://openalex.org/W1600944218","https://openalex.org/W1976058649","https://openalex.org/W2134971993","https://openalex.org/W2100678374","https://openalex.org/W2092454387","https://openalex.org/W2093803733","https://openalex.org/W2277276373"],"abstract_inverted_index":{"With":[0],"high":[1,198],"associated":[2],"costs,":[3],"both":[4,137,348],"in":[5,17,68,189,288,308],"terms":[6],"of":[7,24,28,35,48,54,62,71,84,89,136,150,177,207,214,243,302,343,345,356],"time":[8],"and":[9,43,52,111,125,146,159,170,252,291,318,362],"economics,":[10],"false":[11,29],"alarms":[12,30,86],"are":[13,37,88,100,282],"a":[14,66,93,102,106,112,147,167,174,191,211,248,256,309,312,325,332,341,360],"ubiquitous":[15],"problem":[16,301,355],"camera":[18],"surveillance.":[19],"There":[20],"exists":[21],"many":[22],"methods":[23,219],"lowering":[25],"the":[26,60,69,82,134,157,171,221,241,267,277,293,300,353,367],"rate":[27],"from":[31,65,165,202,359],"motion":[32,85],"detection,":[33],"most":[34],"which":[36,118],"based":[38,114],"around":[39],"using":[40,63,357],"static":[41],"rules":[42],"filters":[44],"such":[45,182,247],"as":[46,262],"area":[47],"interest,":[49],"cross-line":[50],"detection":[51],"filtering":[53,294],"swaying":[55],"objects.":[56],"This":[57],"thesis":[58],"explores":[59],"possibilities":[61,284],"feedback":[64,358],"user":[67,257,313],"form":[70],"examples":[72],"to":[73,92,97,120,122,132,140,196,263,272,285,316,319,329,352,366],"filter":[74],"new":[75],"video":[76,127,203,289],"sequences":[77,290],"with":[78,142,161,163,216,228,255,339],"detected":[79],"motion,":[80],"enabling":[81,292],"suppression":[83],"that":[87,173,190,279,311],"no":[90],"interest":[91],"user.":[94],"Two":[95],"approaches":[96,130,185],"achieve":[98],"this":[99],"presented,":[101],"frame-by-frame":[103],"method":[104],"employing":[105],"one-class":[107],"support":[108],"vector":[109],"machine":[110],"sequence":[113,310],"recurrent":[115],"relational":[116],"network":[117,193],"aims":[119],"learn":[121],"recognize":[123,286,330],"similar":[124],"dissimilar":[126],"sequences.":[128],"Both":[129,184],"aim":[131],"fulfill":[133],"requirement":[135],"being":[138],"able":[139],"work":[141],"only":[143,166],"positive":[144],"data,":[145],"limited":[148,175],"amount":[149,176],"it":[151,306,323,350,364],"at":[152],"that.":[153],"The":[154,205,237,274,336],"report":[155,238,275,337],"discusses":[156,240],"difficulties":[158],"challenges":[160],"working":[162],"data":[164,179],"single":[168],"class,":[169],"limitations":[172],"training":[178],"pus":[180],"on":[181],"systems.":[183],"employ":[186],"transfer":[187],"learning":[188],"pre-trained":[192],"is":[194,307,324,331],"used":[195],"extract":[197],"level":[199,213],"abstract":[200],"features":[201],"frames.":[204],"results":[206],"experiments":[208],"run":[209],"show":[210],"surprising":[212],"accuracy":[215],"even":[217],"basic":[218],"under":[220],"right":[222],"circumstances,":[223],"while":[224],"also":[225],"revealing":[226],"problems":[227,242],"unexpected":[229],"behavior":[230],"when":[231,349,363],"encountering":[232],"some":[233],"new,":[234],"unseen":[235],"data.":[236],"further":[239],"establishing":[244],"how":[245,253,266],"predictable":[246],"system":[249,268,326],"can":[250,258,269],"be,":[251],"communication":[254],"be":[259,270],"done":[260],"so":[261],"properly":[264],"convey":[265],"expected":[271],"act.":[273],"makes":[276],"conclusions":[278],"technically":[280],"there":[281],"indeed":[283],"events":[287],"thereof":[295],"upon":[296],"example":[297],"videos,":[298],"but":[299],"understanding":[303],"what":[304,321],"exactly":[305,322],"may":[314],"want":[315],"ignore":[317],"communicate":[320],"has":[327],"learned":[328],"very":[333],"difficult":[334],"one.":[335],"concludes":[338],"suggesting":[340],"couple":[342],"avenues":[344],"future":[346],"work,":[347],"comes":[351,365],"general":[354],"user,":[361],"more":[368],"technical":[369],"aspects.":[370]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-07-23T00:00:00"}
