{"id":"https://openalex.org/W2992395046","doi":null,"title":"On the application of Cellular Logic Array Processing and Background Subtraction Methods for the Improved Object Detection in Video Surveillance using Local Neighborhood Difference","display_name":"On the application of Cellular Logic Array Processing and Background Subtraction Methods for the Improved Object Detection in Video Surveillance using Local Neighborhood Difference","publication_year":2018,"publication_date":"2018-08-17","ids":{"openalex":"https://openalex.org/W2992395046","mag":"2992395046"},"language":"en","primary_location":{"id":"mag:2992395046","doi":null,"is_oa":false,"landing_page_url":"http://ceser.in/ceserp/index.php/iji/article/view/5714","pdf_url":null,"source":{"id":"https://openalex.org/S2764412113","display_name":"International journal of imaging and robotics","issn_l":"2231-525X","issn":["2231-525X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"International journal of imaging and robotics","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/A5078087571","display_name":"Surender Singh","orcid":"https://orcid.org/0000-0002-7996-8588","observed_orcids":["https://orcid.org/0000-0002-7996-8588"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Surender Singh","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-7996-8588","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010168234","display_name":"Ajay Prasad","orcid":"https://orcid.org/0000-0002-2672-2234","observed_orcids":["https://orcid.org/0000-0002-2672-2234"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ajay Prasad","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2672-2234","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033824989","display_name":"Kingshuk Srivastava","orcid":"https://orcid.org/0000-0002-7098-0863","observed_orcids":["https://orcid.org/0000-0002-7098-0863"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kingshuk Srivastava","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-7098-0863","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5074887890","display_name":"S. D. Bhattacharya","orcid":"https://orcid.org/0000-0002-1342-2953","observed_orcids":["https://orcid.org/0000-0002-1342-2953"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. D. Bhattacharya","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1342-2953","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"4","first_page":"94","last_page":"104"},"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":9.999999747378752e-05,"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":0.0,"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":0.652999997138977},{"id":"https://openalex.org/keywords/video-surveillance","display_name":"video surveillance","score":0.9129999876022339},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"background subtraction","score":0.8289999961853027},{"id":"https://openalex.org/keywords/dynamic-background","display_name":"dynamic background","score":0.6499999761581421},{"id":"https://openalex.org/keywords/noise-robustness","display_name":"noise robustness","score":0.656000018119812},{"id":"https://openalex.org/keywords/thresholding","display_name":"thresholding","score":0.8629999756813049}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.9127577543258667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.744656503200531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.71367347240448},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6974751353263855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.694171667098999},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6732184886932373},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6070318222045898},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5480109453201294},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.5333331227302551},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5226571559906006},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3790665864944458},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29625964164733887},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26408714056015015},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2992395046","doi":null,"is_oa":false,"landing_page_url":"http://ceser.in/ceserp/index.php/iji/article/view/5714","pdf_url":null,"source":{"id":"https://openalex.org/S2764412113","display_name":"International journal of imaging and robotics","issn_l":"2231-525X","issn":["2231-525X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"International journal of imaging and robotics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3173713015","https://openalex.org/W2379810571","https://openalex.org/W2368798097","https://openalex.org/W2053359623","https://openalex.org/W3093921363","https://openalex.org/W2351462715","https://openalex.org/W7219837909","https://openalex.org/W4221055801","https://openalex.org/W7098745150","https://openalex.org/W2050199880"],"abstract_inverted_index":{"The":[0],"research":[1],"article":[2],"proposes":[3],"an":[4,55],"innovative":[5,56],"method":[6,113],"of":[7,22,46,58,68,75,83,89,91],"object":[8,100],"motion":[9,101],"detection":[10,102],"techniques":[11],"using":[12],"\u201cLocal":[13],"Neighborhood":[14],"Differencing\u201d":[15],"in":[16,43,65,103,116],"statistical":[17],"background":[18,84],"subtraction":[19],"(BGS)":[20],"procedures":[21],"video":[23],"surveillance.":[24],"Existing":[25],"methods":[26,37],"such":[27],"as":[28],"Adaptive":[29,33],"Mean":[30],"(AM)":[31],"and":[32,49,79,96],"Median":[34],"(AMD)":[35],"BGS":[36],"are":[38],"fast":[39],"but":[40],"they":[41],"fail":[42],"challenging":[44],"environments":[45],"high":[47],"noise":[48],"dynamic":[50],"background.":[51],"This":[52],"paper":[53],"uses":[54],"procedure":[57],"differencing":[59],"based":[60],"on":[61],"the":[62,70,76,80,86,92,104,117],"local":[63],"neighborhood":[64,93],"which":[66],"instead":[67],"finding":[69],"difference":[71,88],"between":[72],"a":[73],"pixel":[74,82],"current":[77,105],"frame":[78],"corresponding":[81],"frame,":[85],"average":[87],"whole":[90],"is":[94,114],"found":[95],"then":[97],"thresholded":[98],"for":[99],"frame.":[106],"A":[107],"very":[108],"effective":[109],"improvement":[110],"over":[111],"basic":[112],"verified":[115],"experiments.":[118]},"counts_by_year":[],"updated_date":"2026-10-01T08:54:57.152042","created_date":"2019-12-13T00:00:00"}
