{"id":"https://openalex.org/W2395099093","doi":"https://doi.org/10.14279/depositonce-2525","title":"Towards Robust Object Segmentation in Video Sequences and its Applications","display_name":"Towards Robust Object Segmentation in Video Sequences and its Applications","publication_year":2010,"publication_date":"2010-07-26","ids":{"openalex":"https://openalex.org/W2395099093","doi":"https://doi.org/10.14279/depositonce-2525","mag":"2395099093"},"language":"de","primary_location":{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-020509478","doi":null,"is_oa":false,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:kobv:83-opus-27219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Hochschulschrift"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.14279/depositonce-2525","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110482012","display_name":"Mustafa Karaman","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Karaman, Mustafa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5110482012"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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":0.9970999956130981,"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":0.9970999956130981,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.0008999999845400453,"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":0.0005000000237487257,"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/object-segmentation","display_name":"object segmentation","score":0.9670000076293945},{"id":"https://openalex.org/keywords/video-sequences","display_name":"video sequences","score":0.628000020980835},{"id":"https://openalex.org/keywords/background-modeling","display_name":"background modeling","score":0.9539999961853027},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"background subtraction","score":0.9950000047683716},{"id":"https://openalex.org/keywords/moving-objects","display_name":"moving objects","score":0.5989999771118164},{"id":"https://openalex.org/keywords/temporal-coherence","display_name":"temporal coherence","score":0.8849999904632568},{"id":"https://openalex.org/keywords/reflection-detection","display_name":"reflection detection","score":0.5580000281333923},{"id":"https://openalex.org/keywords/glossy-surfaces","display_name":"glossy surfaces","score":0.6010000109672546},{"id":"https://openalex.org/keywords/illumination-invariance","display_name":"illumination invariance","score":0.4580000042915344},{"id":"https://openalex.org/keywords/object-recognition","display_name":"object recognition","score":0.3700000047683716},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"foreground detection","score":0.31299999356269836},{"id":"https://openalex.org/keywords/static-camera-video","display_name":"static camera video","score":0.4560000002384186}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6295791268348694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6040114164352417},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5980263352394104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5791043043136597},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4695371389389038},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4410856366157532}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-020509478","doi":null,"is_oa":false,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:kobv:83-opus-27219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Hochschulschrift"},{"id":"pmh:oai:depositonce.tu-berlin.de:11303/2822","doi":null,"is_oa":false,"landing_page_url":"https://depositonce.tu-berlin.de/handle/11303/2822","pdf_url":null,"source":{"id":"https://openalex.org/S4406922277","display_name":"DepositOnce","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Doctoral Thesis"},{"id":"doi:10.14279/depositonce-2525","doi":"https://doi.org/10.14279/depositonce-2525","is_oa":true,"landing_page_url":"https://doi.org/10.14279/depositonce-2525","pdf_url":null,"source":{"id":"https://openalex.org/S7407052985","display_name":"Technische Universit\u00e4t Berlin \u2013 Universit\u00e4tsbibliothek","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4577782","host_organization_name":"Technische Universit\u00e4t Berlin","host_organization_lineage":["https://openalex.org/I4577782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:2395099093","doi":null,"is_oa":false,"landing_page_url":"https://depositonce.tu-berlin.de/bitstream/11303/2822/1/Dokument_37.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":"doi:10.14279/depositonce-2525","doi":"https://doi.org/10.14279/depositonce-2525","is_oa":true,"landing_page_url":"https://doi.org/10.14279/depositonce-2525","pdf_url":null,"source":{"id":"https://openalex.org/S7407052985","display_name":"Technische Universit\u00e4t Berlin \u2013 Universit\u00e4tsbibliothek","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4577782","host_organization_name":"Technische Universit\u00e4t Berlin","host_organization_lineage":["https://openalex.org/I4577782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2978807929","https://openalex.org/W2336533605","https://openalex.org/W3083145831","https://openalex.org/W7098283212","https://openalex.org/W2921369759","https://openalex.org/W2379464719","https://openalex.org/W1510422579","https://openalex.org/W2089983949","https://openalex.org/W2295620115","https://openalex.org/W7095667224"],"abstract_inverted_index":{"Objektsegmentierung":[0,91,245,327,352],"ist":[1,56,421],"eines":[2,502],"der":[3,7,18,25,37,100,116,150,153,181,244,296,304,333,364,405,468,483],"grundlegenden":[4],"Probleme":[5],"in":[6,67,152,165,212,354,404],"Bildverarbeitung":[8],"und":[9,20,78,85,111,133,186,198,202,205,252,264,275,294,329,380,391,443,482,491],"Computervision,":[10],"da":[11],"sie":[12],"eine":[13,34,154,213,248,454],"Vorstufe":[14],"f\u00fcr":[15,241,308,459,474,499],"viele":[16],"Aufgaben":[17],"Objektanalyse":[19,26],"Anwendungen":[21,356],"darstellt.":[22],"Viele":[23],"Verfahren":[24,243],"wie":[27],"zum":[28],"Beispiel":[29],"die":[30,57,63,113,114,136,137,174,199,220,261,271,276,282,290,322,326,343,387,401,431,475,480],"Objekterkennung":[31],"sind":[32],"auf":[33,235,303,438],"genaue":[35],"Segmentierung":[36,64,117],"interessanten":[38],"Objekte":[39],"angewiesen.":[40],"Um":[41],"dies":[42],"zu":[43,171,273,278,361,465,489,494],"Erreichen":[44],"k\u00f6nnen":[45],"verschiedene":[46,95],"visuelle":[47],"Merkmale":[48],"analysiert":[49,204,269,479],"werden.":[50],"Das":[51,122,348,496],"grundlegende":[52],"Ziel":[53],"dieser":[54,106,139,145],"Dissertation":[55,140,146],"Entwicklung":[58],"einer":[59,71,485],"robusten":[60],"Methode":[61,156,215,249],"fuer":[62],"von":[65,167,233,254,317,389,427,435],"Objekten":[66,170,234],"Videos,":[68],"welche":[69,219],"mit":[70,149,226,330,433],"statischen":[72],"Kamera":[73],"aufgenommen":[74],"wurden.":[75],"Hierf\u00fcr":[76],"untersucht":[77,185],"verbessert":[79],"diese":[80,488],"Arbeit":[81],"Techniken":[82],"yu":[83],"Hintergrundmodellierung":[84],"-subtraktion.":[86],"In":[87,467],"einem":[88,227],"System":[89,124,313,350,372,395,423,473,497],"zur":[90,157,216,250,314,338,351,373,396,411,424],"durchl\u00e4uft":[92],"ein":[93,162,238,311,371,422,472],"Video":[94,410],"Prozesse":[96,107],"bevor":[97],"das":[98,394,407,500],"Segmentierungseergebnis":[99],"gew\u00fcnschten":[101],"Anwendung":[102,366,420,470],"weitergereicht":[103],"wird.":[104],"Jeder":[105],"besityt":[108],"spezifische":[109],"Vor-":[110,201],"Nachteile,":[112],"Qualit\u00e4t":[115],"verbessern":[118],"oder":[119,462],"verschlechtern":[120],"k\u00f6nnen.":[121],"allgemeine":[123],"besteht":[125],"aus":[126],"drei":[127],"verschiedenen":[128,134],"Prozessen":[129],"(Vor-,":[130],"Haupt-,":[131],"Nachverarbeitung)":[132],"Applikationen,":[135],"Bestandteile":[138],"sind.":[141],"Der":[142],"erste":[143],"Teil":[144],"befasst":[147],"sich":[148,168,369],"Vorverarbeitungsstufe,":[151],"hierarchiche":[155],"Hintergrundsch\u00e4tzung":[158],"vorgestellt":[159],"wird,":[160],"um":[161,270,358,370,453,487],"zuverl\u00e4ssiges":[163],"Hintergrundmodell":[164],"Anwesenheit":[166],"bewegenden":[169],"erstellen.":[172],"F\u00fcr":[173],"eigentliche":[175],"Hintergrundsubtraktion":[176,217],"werden":[177,190,342,414,430,451],"neun":[178],"dem":[179,331,409,439],"Stand":[180],"Technik":[182],"entsprechende":[183],"Methoden":[184],"miteinander":[187],"verglichen.":[188],"Hierbei":[189],"sowohl":[191],"subjektive":[192],"als":[193,256],"auch":[194],"objektive":[195],"Bewertungsma\u00dfe":[196],"verwendet":[197,452],"individuellen":[200],"Nachteile":[203],"beschrieben.":[206],"Die":[207,418,448],"daraus":[208],"gewonnenen":[209],"Erkenntnisse":[210],"wurden":[211],"zuverl\u00e4ssigere":[214],"integriert,":[218],"invariante":[221],"Farbbeschreibung":[222],"des":[223,266,457],"Gau\u00dfschen":[224],"Farbmodels":[225],"zeitlichen":[228],"Konsistenzkriterium":[229],"kombiniert.":[230],"Da":[231],"Reflektionen":[232,255],"gl\u00e4nzenden":[236],"B\u00f6den":[237],"grundlegendes":[239],"Problem":[240,310],"alle":[242],"darstellen,":[246],"wurde":[247,353,393,498],"Detektion":[251],"Entfernung":[253],"Nachverarbeitungsschritt":[257],"entwickelt.":[258],"Dabei":[259,320,429],"wird":[260,307,321,471],"visuell":[262],"Erscheinung":[263,384,481],"Form":[265],"\u00fcbersegmentierten":[267],"Objektes":[268],"Reflektionsgrenye":[272],"finden":[274],"Objektmaske":[277],"adaptieren.":[279],"Betrachtet":[280],"man":[281,287],"Bildsegmentierung":[283,334],"im":[284],"allgemeinen,":[285],"stellt":[286],"fest,":[288],"dass":[289],"Evaluierung":[291,316],"sehr":[292,299],"schwierig":[293],"wegen":[295],"notwendigen":[297],"Grundwahrheit":[298,323,341],"zeitaufwendig":[300],"ist.":[301],"Basierend":[302],"entwickelten":[305],"Hintegrundsubtraktion":[306],"dieses":[309],"automatisches":[312],"objektbasierten":[315],"Bildsegmentierungsverfahren":[318],"vorgestellt.":[319],"automatisch":[324],"durch":[325],"generiert":[328],"Ergebnis":[332],"veglichen.":[335],"Im":[336],"Vergleich":[337],"manuell":[339],"generierten":[340],"Evaluierungsergebnisse":[344],"nur":[345],"gering":[346],"beeinflusst.":[347],"entwickelte":[349],"einigen":[355],"eingsetzt,":[357],"seine":[359],"Vielseitigkeit":[360],"testen.":[362],"Bei":[363],"ersten":[365],"handelt":[367],"es":[368],"visuellen":[374,383],"\u00dcberwachung,":[375],"welches":[376],"Personen":[377],"detektiert,":[378,441],"verfolgt":[379,442],"anhand":[381],"ihrer":[382],"identifiziert.":[385],"Durch":[386,400],"Kombination":[388],"Video-":[390],"Audioanalyse":[392],"multimodalen":[397],"\u00dcberwachung":[398],"erweitert.":[399],"multimodale":[402],"Fusion,":[403],"meistens":[406],"Audio":[408],"Hilfe":[412,434],"steht,":[413],"bessere":[415],"Ergbenisse":[416],"erzielt.":[417],"dritte":[419],"automatischen":[425],"Analyse":[426],"Fu\u00dfballspielen.":[428],"Spieler":[432],"acht":[436],"Kameras":[437],"Spielfeld":[440],"den":[444],"jeweiligen":[445],"Teams":[446],"zugeordnet.":[447],"extrahierten":[449],"Informationen":[450],"vereinfachte":[455],"Darstellung":[456],"Spielgeschehens":[458],"portable":[460],"Ger\u00e4te":[461],"taktische":[463],"Analzsen":[464],"generieren.":[466],"letzten":[469],"Mensch-Maschine-Interaktion":[476],"realisiert.":[477],"Es":[478],"Bewegung":[484],"Person":[486],"identifizieren":[490],"ihre":[492],"Gesten":[493],"intepretieren.":[495],"Szenario":[501],"intelligenten":[503],"Geldautomaten":[504],"getestet.":[505]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2016-06-24T00:00:00"}