{"id":"https://openalex.org/W2428711971","doi":"https://doi.org/10.1109/siu.2016.7495761","title":"Abandoned object detection via subspace learning","display_name":"Abandoned object detection via subspace learning","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2428711971","doi":"https://doi.org/10.1109/siu.2016.7495761","mag":"2428711971"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2016.7495761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2016.7495761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Signal Processing and Communication Application Conference (SIU)","raw_type":"proceedings-article"},"type":"article","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/A5031798920","display_name":"Hasan H\u00fcseyin S\u00f6nmez","orcid":"https://orcid.org/0000-0002-4255-9078"},"institutions":[{"id":"https://openalex.org/I109297418","display_name":"Gebze Technical University","ror":"https://ror.org/01sdnnq10","country_code":"TR","type":"education","lineage":["https://openalex.org/I109297418"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Hasan H\u00fcseyin S\u00f6nmez","raw_affiliation_strings":["Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Gebze Teknik \u00dcniversitesi, Kocaeli, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Gebze Teknik \u00dcniversitesi, Kocaeli, T\u00fcrkiye","institution_ids":["https://openalex.org/I109297418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084063634","display_name":"Al\u0131 K\u00f6ksal Hocao\u01e7lu","orcid":"https://orcid.org/0000-0003-0701-2787"},"institutions":[{"id":"https://openalex.org/I109297418","display_name":"Gebze Technical University","ror":"https://ror.org/01sdnnq10","country_code":"TR","type":"education","lineage":["https://openalex.org/I109297418"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"A. K\u00f6ksal Hocao\u011flu","raw_affiliation_strings":["Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Gebze Teknik \u00dcniversitesi, Kocaeli, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Gebze Teknik \u00dcniversitesi, Kocaeli, T\u00fcrkiye","institution_ids":["https://openalex.org/I109297418"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031798920"],"corresponding_institution_ids":["https://openalex.org/I109297418"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54934801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"397","last_page":"400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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"}},"topics":[{"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9975000023841858,"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/initialization","display_name":"Initialization","score":0.8210701942443848},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7830173969268799},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7733726501464844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7535234689712524},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6350739002227783},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6056382656097412},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5905400514602661},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.49519696831703186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4821852743625641}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8210701942443848},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7830173969268799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7733726501464844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7535234689712524},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6350739002227783},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6056382656097412},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5905400514602661},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.49519696831703186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4821852743625641},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2016.7495761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2016.7495761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Signal Processing and Communication Application Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W45577671","https://openalex.org/W192403883","https://openalex.org/W1736339626","https://openalex.org/W1988061476","https://openalex.org/W2012334287","https://openalex.org/W2052524720","https://openalex.org/W2081947144","https://openalex.org/W2118830060","https://openalex.org/W2123129869","https://openalex.org/W2128881642","https://openalex.org/W2135388176","https://openalex.org/W2142077116","https://openalex.org/W2145962650","https://openalex.org/W2150489380","https://openalex.org/W2524126527","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W419730749","https://openalex.org/W2388834028","https://openalex.org/W4292830139","https://openalex.org/W2121941242","https://openalex.org/W1971759388","https://openalex.org/W2123129869","https://openalex.org/W2360918960"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"a":[3,70],"novel":[4],"video":[5],"surveillance":[6],"algorithm":[7],"is":[8,22,37,62],"developed":[9],"for":[10,92],"detection":[11],"of":[12,50],"abandoned":[13],"objects":[14,52],"in":[15,74],"public":[16,66],"scenes.":[17],"Two":[18],"different":[19,65],"foreground":[20,41,51],"model":[21],"used":[23,38],"to":[24,39,83],"detect":[25,40],"moving":[26],"and":[27,48,68,95],"temporarily":[28],"static":[29],"objects.":[30,42],"A":[31],"subspace":[32],"learning":[33],"method,":[34],"called":[35],"GoDec,":[36],"By":[43],"using":[44],"GoDec":[45],"algorithm,":[46],"shape":[47],"contour":[49],"are":[53],"obtained":[54],"more":[55],"precisely":[56],"than":[57],"the":[58],"traditional":[59],"methods.":[60],"Algorithm":[61],"tested":[63],"on":[64,69],"datasets":[67],"new":[71],"dataset":[72],"prepared":[73],"various":[75],"environments":[76],"by":[77],"GTU,":[78],"Gebze":[79],"Technical":[80],"University.":[81],"According":[82],"test":[84],"results,":[85],"proposed":[86],"method":[87],"gives":[88],"better":[89],"results":[90],"especially":[91],"background":[93],"initialization":[94],"occlusion":[96],"problems.":[97]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}