{"id":"https://openalex.org/W2096813405","doi":"https://doi.org/10.1109/icme.2005.1521538","title":"Segmenting Layers in Automated Visual Surveillance","display_name":"Segmenting Layers in Automated Visual Surveillance","publication_year":2005,"publication_date":"2005-10-24","ids":{"openalex":"https://openalex.org/W2096813405","doi":"https://doi.org/10.1109/icme.2005.1521538","mag":"2096813405"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2005.1521538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","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/A5101461389","display_name":"Lijuan Qin","orcid":"https://orcid.org/0009-0008-8973-1761"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijuan Qin","raw_affiliation_strings":["College of Computer Science, University of Zhejiang, China","College of Computer Science, Zhejiang University, Hangzhou"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, University of Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008666077","display_name":"Yueting Zhuang","orcid":"https://orcid.org/0000-0001-9017-2508"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueting Zhuang","raw_affiliation_strings":["College of Computer Science, University of Zhejiang, China","College of Computer Science, Zhejiang University, Hangzhou"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, University of Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012707925","display_name":"Yunhe Pan","orcid":"https://orcid.org/0000-0002-0608-3826"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhe Pan","raw_affiliation_strings":["College of Computer Science, University of Zhejiang, China","College of Computer Science, Zhejiang University, Hangzhou"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, University of Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073055826","display_name":"Fei Wu","orcid":"https://orcid.org/0000-0001-5137-887X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wu","raw_affiliation_strings":["College of Computer Science, University of Zhejiang, China","College of Computer Science, Zhejiang University, Hangzhou"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, University of Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15647602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"775","last_page":"778"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9948999881744385,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9926999807357788,"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/background-subtraction","display_name":"Background subtraction","score":0.8099159002304077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7956492900848389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7618173360824585},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.749406099319458},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7151985168457031},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7073737382888794},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5399709939956665},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5222347974777222},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4651886522769928},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.46033722162246704},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4532254636287689},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44831377267837524},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4472624659538269},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.41948816180229187}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.8099159002304077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7956492900848389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7618173360824585},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.749406099319458},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7151985168457031},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7073737382888794},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5399709939956665},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5222347974777222},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4651886522769928},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.46033722162246704},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4532254636287689},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44831377267837524},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4472624659538269},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.41948816180229187},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"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/icme.2005.1521538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W148558234","https://openalex.org/W1499877760","https://openalex.org/W1559679762","https://openalex.org/W2096175520","https://openalex.org/W2097512404","https://openalex.org/W2102625004","https://openalex.org/W2116629447","https://openalex.org/W2911709767","https://openalex.org/W3094885158","https://openalex.org/W6605971584","https://openalex.org/W6629695367","https://openalex.org/W6633146140","https://openalex.org/W6674650171","https://openalex.org/W6678077374"],"related_works":["https://openalex.org/W2564343397","https://openalex.org/W2071787278","https://openalex.org/W2382329643","https://openalex.org/W2282723021","https://openalex.org/W1987287817","https://openalex.org/W2123129869","https://openalex.org/W3094443322","https://openalex.org/W3031536623","https://openalex.org/W4399575711","https://openalex.org/W2043320108"],"abstract_inverted_index":{"Detecting":[0],"objects":[1,19,36,55],"of":[2,28,50,66,92],"interest":[3],"from":[4,56],"a":[5,9,62],"video":[6],"sequence":[7],"is":[8],"fundamental":[10],"and":[11,52,71],"critical":[12],"task":[13],"in":[14,90],"automated":[15],"visual":[16],"surveillance.":[17],"Those":[18],"can":[20],"either":[21],"be":[22],"moving":[23,35,51],"or":[24],"stationary.":[25],"However,":[26],"most":[27],"current":[29],"approaches":[30],"only":[31],"focus":[32],"on":[33],"discriminating":[34],"by":[37],"background":[38],"subtraction.":[39],"In":[40],"this":[41],"work,":[42],"we":[43],"propose":[44],"layers":[45,81],"segmentation":[46,95],"to":[47,79],"detect":[48],"both":[49],"stationary":[53],"target":[54],"surveillance":[57],"video.":[58],"We":[59],"first":[60],"construct":[61],"codebook":[63],"with":[64,82],"set":[65],"codewords":[67,83],"for":[68],"each":[69],"pixel":[70],"then":[72],"extend":[73],"the":[74],"Matrix":[75],"Entropy":[76],"statistical":[77],"model":[78],"segment":[80],"features.":[84],"Our":[85],"experimental":[86],"results":[87],"are":[88],"presented":[89],"terms":[91],"success":[93],"layer":[94],"rate.":[96]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
