{"id":"https://openalex.org/W2163526675","doi":"https://doi.org/10.1109/cvprw.2008.4563147","title":"A moving object detection algorithm for smart cameras","display_name":"A moving object detection algorithm for smart cameras","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2163526675","doi":"https://doi.org/10.1109/cvprw.2008.4563147","mag":"2163526675"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2008.4563147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4563147","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":"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/A5056973410","display_name":"Yongseok Yoo","orcid":"https://orcid.org/0000-0001-6126-3734"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yongseok Yoo","raw_affiliation_strings":["Samsung Advanced Institute of Technology, Yongin si, Gyeonggi, South Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology, Yongin si, Gyeonggi, South Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070006729","display_name":"Tae-Suh Park","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tae-Suh Park","raw_affiliation_strings":["Samsung Advanced Institute of Technology, Yongin si, Gyeonggi, South Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology, Yongin si, Gyeonggi, South Korea","institution_ids":["https://openalex.org/I2250650973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056973410"],"corresponding_institution_ids":["https://openalex.org/I2250650973"],"apc_list":null,"apc_paid":null,"fwci":1.7748,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87172449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.996399998664856,"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":0.9961000084877014,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7557151913642883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7509018182754517},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7230767011642456},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.722147524356842},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5749598145484924},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.46445488929748535},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4642736315727234},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.46124356985092163},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.46007782220840454},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.4197508692741394},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.38305696845054626},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33283859491348267},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32768702507019043}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7557151913642883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7509018182754517},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7230767011642456},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.722147524356842},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5749598145484924},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.46445488929748535},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4642736315727234},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.46124356985092163},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.46007782220840454},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.4197508692741394},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.38305696845054626},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33283859491348267},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32768702507019043},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvprw.2008.4563147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4563147","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:10.1.1.420.387","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.387","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/198.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":16,"referenced_works":["https://openalex.org/W1752175949","https://openalex.org/W1972851400","https://openalex.org/W2056128010","https://openalex.org/W2079241389","https://openalex.org/W2081071612","https://openalex.org/W2102625004","https://openalex.org/W2106865714","https://openalex.org/W2117616929","https://openalex.org/W2119638490","https://openalex.org/W2143668817","https://openalex.org/W2148290050","https://openalex.org/W2161193411","https://openalex.org/W2163380389","https://openalex.org/W2266946488","https://openalex.org/W2799061466","https://openalex.org/W4205687621"],"related_works":["https://openalex.org/W4292829955","https://openalex.org/W2067373798","https://openalex.org/W3142777113","https://openalex.org/W2042906721","https://openalex.org/W2069104655","https://openalex.org/W1966592431","https://openalex.org/W2404609479","https://openalex.org/W120037069","https://openalex.org/W2108381786","https://openalex.org/W2126594804"],"abstract_inverted_index":{"In":[0,12,138],"video":[1],"surveillance":[2],"systems,":[3],"more":[4],"intelligent":[5],"functions":[6],"are":[7],"being":[8],"embedded":[9,145],"into":[10,146],"cameras.":[11],"this":[13],"paper,":[14],"we":[15,37],"propose":[16,90],"a":[17,39,53],"novel":[18],"approach":[19],"for":[20],"detecting":[21],"moving":[22,85,108,125,150],"objects":[23,86,126,151],"with":[24,68,127],"fewer":[25],"false":[26,130],"alarms":[27],"and":[28,102,148],"low":[29,129],"computational":[30],"complexity.":[31],"Contrary":[32],"to":[33,83,94,103,123],"traditional":[34],"temporal":[35],"differencing,":[36],"suggest":[38],"new":[40],"feature":[41],"based":[42],"on":[43],"signed":[44,73],"difference,":[45],"which":[46],"represents":[47],"the":[48,62,72,78,96,105,135,140],"pattern":[49,57],"of":[50,77,107],"motion":[51],"in":[52,71,153],"given":[54,100],"region.":[55],"The":[56,75],"is":[58,81,121],"measured":[59],"by":[60],"calculating":[61],"Earth":[63],"Mover\u2019s":[64],"Distance":[65],"between":[66],"regions":[67,106],"opposite":[69],"signs":[70],"difference.":[74],"robustness":[76],"perceptive":[79],"metric":[80],"exploited":[82],"detect":[84,124,149],"accurately.":[87],"We":[88],"also":[89],"an":[91],"efficient":[92],"algorithm":[93,142],"approximate":[95],"value":[97],"along":[98],"four":[99],"directions":[101],"locate":[104],"objects.":[109],"Experimental":[110],"results":[111],"show":[112],"that,":[113],"without":[114],"prior":[115],"knowledge":[116],"or":[117],"training,":[118],"our":[119],"method":[120],"able":[122],"very":[128],"alarm":[131],"rate":[132],"even":[133],"under":[134],"challenging":[136],"environments.":[137],"addition,":[139],"fast":[141],"can":[143],"be":[144],"cameras":[147],"accurately":[152],"real":[154],"time.":[155]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}