{"id":"https://openalex.org/W2160996019","doi":"https://doi.org/10.1109/cvprw.2008.4563067","title":"Online training of object detectors from unlabeled surveillance video","display_name":"Online training of object detectors from unlabeled surveillance video","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2160996019","doi":"https://doi.org/10.1109/cvprw.2008.4563067","mag":"2160996019"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2008.4563067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4563067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103211708","display_name":"Hasan \u00c7elik","orcid":"https://orcid.org/0000-0003-2885-0501"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Hasan Celik","raw_affiliation_strings":["Delft University of Technnology, Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technnology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037486611","display_name":"Alan Hanjali\u0107","orcid":"https://orcid.org/0000-0002-5771-2549"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alan Hanjalic","raw_affiliation_strings":["Delft University of Technnology, Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technnology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103360768","display_name":"Emile A. Hendriks","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Emile A. Hendriks","raw_affiliation_strings":["Delft University of Technnology, Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technnology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052314657","display_name":"Sabri Boughorbel","orcid":"https://orcid.org/0000-0003-2734-3356"},"institutions":[{"id":"https://openalex.org/I4210122849","display_name":"Philips (Netherlands)","ror":"https://ror.org/02p2bgp27","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210122849"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sabri Boughorbel","raw_affiliation_strings":["Philips Research, Eindhoven, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Philips Research, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I4210122849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.564,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85295196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8099942803382874},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7444693446159363},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7264680862426758},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7224928140640259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.711604118347168},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6400401592254639},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6123015284538269},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.6106838583946228},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6094299554824829},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5087729096412659},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.443093478679657},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33210307359695435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8099942803382874},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7444693446159363},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7264680862426758},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7224928140640259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.711604118347168},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6400401592254639},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6123015284538269},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.6106838583946228},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6094299554824829},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5087729096412659},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.443093478679657},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33210307359695435},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvprw.2008.4563067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4563067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.420.2358","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.2358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/WorkShops/data/papers/118.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1512098439","https://openalex.org/W2099355420","https://openalex.org/W2109258005","https://openalex.org/W2118572719","https://openalex.org/W2120219904","https://openalex.org/W2121680631","https://openalex.org/W2125903945","https://openalex.org/W2127525710","https://openalex.org/W2151103935","https://openalex.org/W2153927146","https://openalex.org/W2157041524","https://openalex.org/W2161969291","https://openalex.org/W2164202775","https://openalex.org/W2949364901","https://openalex.org/W6683120118"],"related_works":["https://openalex.org/W2161052216","https://openalex.org/W4317548404","https://openalex.org/W2786391746","https://openalex.org/W3022007134","https://openalex.org/W2130553454","https://openalex.org/W3132346564","https://openalex.org/W2991483587","https://openalex.org/W2033364610","https://openalex.org/W2914559142","https://openalex.org/W2797776314"],"abstract_inverted_index":{"One":[0],"of":[1,21,38,57,79,99],"the":[2,89],"decisive":[3],"steps":[4],"in":[5,73,83,93],"automated":[6],"surveillance":[7],"and":[8,26,60,81,86],"monitoring":[9],"is":[10,102],"object":[11,18,91],"detection.":[12],"A":[13],"standard":[14],"approach":[15],"to":[16,29,35,53],"constructing":[17],"detectors":[19],"consists":[20],"annotating":[22],"large":[23],"data":[24,42],"sets":[25],"using":[27],"them":[28],"train":[30],"a":[31,39,54,64,67,76,94],"detector.":[32],"Nevertheless,":[33],"due":[34],"unavoidable":[36],"constraints":[37],"typical":[40],"training":[41],"set,":[43],"supervised":[44],"approaches":[45],"are":[46],"inappropriate":[47],"for":[48],"building":[49],"generic":[50,69],"systems":[51],"applicable":[52],"wide":[55],"diversity":[56],"camera":[58],"setups":[59],"scenes.":[61],"To":[62],"make":[63],"step":[65],"towards":[66],"more":[68],"solution,":[70],"we":[71],"propose":[72],"this":[74],"paper":[75],"method":[77,101],"capable":[78],"learning":[80],"detecting,":[82],"an":[84],"online":[85],"unsupervised":[87],"setup,":[88],"dominant":[90],"class":[92],"general":[95],"scene.":[96],"The":[97],"effectiveness":[98],"our":[100],"experimentally":[103],"demonstrated":[104],"on":[105],"four":[106],"representative":[107],"video":[108],"sequences.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}