{"id":"https://openalex.org/W2352344844","doi":null,"title":"Detection algorithm based on block mode and codebook model","display_name":"Detection algorithm based on block mode and codebook model","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2352344844","mag":"2352344844"},"language":"en","primary_location":{"id":"mag:2352344844","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZGJL201202004.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764403087","display_name":"Journal of China Institute of Metrology","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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of China University of Metrology","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5012711026","display_name":"Fan Zhen-tao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Zhen-tao","raw_affiliation_strings":["College of Information Engineering China Jiliang University Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering China Jiliang University Hangzhou 310018, China","institution_ids":["https://openalex.org/I55538621"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5012711026"],"corresponding_institution_ids":["https://openalex.org/I55538621"],"apc_list":null,"apc_paid":null,"fwci":0.2682,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56613138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.00019999999494757503,"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/T10741","display_name":"Video Coding and Compression Technologies","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/moving-object-detection","display_name":"moving object detection","score":0.9990000128746033},{"id":"https://openalex.org/keywords/codebook-model","display_name":"codebook model","score":0.8679999709129333},{"id":"https://openalex.org/keywords/block-based-detection","display_name":"block-based detection","score":0.6710000038146973},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"foreground detection","score":0.49000000953674316},{"id":"https://openalex.org/keywords/complex-background","display_name":"complex background","score":0.7509999871253967},{"id":"https://openalex.org/keywords/real-time-video-processing","display_name":"real-time video processing","score":0.7450000047683716},{"id":"https://openalex.org/keywords/false-target-suppression","display_name":"false target suppression","score":0.6579999923706055},{"id":"https://openalex.org/keywords/static-camera-video","display_name":"static camera video","score":0.6039999723434448}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.9422504901885986},{"id":"https://openalex.org/C124828224","wikidata":"https://www.wikidata.org/wiki/Q2632668","display_name":"Macroblock","level":3,"score":0.7969958782196045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6867823600769043},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.6676912307739258},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6659833788871765},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6545585989952087},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6088607311248779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5876113176345825},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.5290046334266663},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5251989960670471},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5030438303947449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22407102584838867},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19580048322677612},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.10458093881607056},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2352344844","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZGJL201202004.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764403087","display_name":"Journal of China Institute of Metrology","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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of China University of Metrology","raw_type":null}],"best_oa_location":null,"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/W2390036456","https://openalex.org/W2385010770","https://openalex.org/W2381530579","https://openalex.org/W2392394194","https://openalex.org/W2362810153","https://openalex.org/W2180113556","https://openalex.org/W2355907950","https://openalex.org/W2160685586","https://openalex.org/W2532330090","https://openalex.org/W2391262899"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,78,92,97],"solve":[3],"the":[4,11,20,24,30,33,44,61,70,75,80,95,115],"problem":[5],"on":[6],"detecting":[7],"moving":[8,36,45,71,131],"objects":[9,37],"with":[10,48,94],"complex":[12],"background":[13],"captured":[14],"using":[15,60],"a":[16,40],"static":[17],"camera,and":[18],"at":[19],"same":[21,76],"time,to":[22],"overcome":[23],"shortage":[25],"of":[26,35,63],"detection":[27,34,47,126],"speed":[28],"and":[29,90,124],"accuracy":[31],"in":[32,127],"currently,we":[38],"presented":[39],"real-time":[41],"algorithm":[42,110],"for":[43],"object":[46,72],"an":[49,54],"improved":[50],"codebook":[51,67,96],"model.First,we":[52],"divided":[53],"image":[55],"into":[56,83],"several":[57,84],"blocks(MacroBlock)":[58],"by":[59],"idea":[62],"block.Then,for":[64],"each":[65,87],"macroblock,a":[66],"was":[68,101],"built.During":[69],"detection,we":[73],"used":[74],"way":[77],"divide":[79],"current":[81],"frame":[82],"blocks,just":[85],"achieving":[86],"macroblock's":[88],"pixel-means":[89],"brightness-means":[91],"compare":[93],"identify":[98],"whether":[99],"it":[100],"foreground":[102],"block":[103],"or":[104],"not.The":[105],"experiment":[106],"proves":[107],"that":[108],"this":[109],"not":[111],"only":[112],"can":[113,120],"restrain":[114],"fake":[116],"target":[117],"effectively":[118],"but":[119],"also":[121],"achieve":[122],"robust":[123],"fast":[125],"videos":[128],"which":[129],"contain":[130],"background.":[132]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2016-06-24T00:00:00"}
