{"id":"https://openalex.org/W1588999643","doi":"https://doi.org/10.1109/i2mtc.2015.7151422","title":"Reliability of bench-mark datasets for crowd analytic surveillance","display_name":"Reliability of bench-mark datasets for crowd analytic surveillance","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1588999643","doi":"https://doi.org/10.1109/i2mtc.2015.7151422","mag":"1588999643"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2015.7151422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2015.7151422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","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/A5078851910","display_name":"Mohamed Abul Hassan","orcid":null},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Mohamed Abul Hassan","raw_affiliation_strings":["Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, Malaysia","Centre for Intelligent Signal and Imaging Research (CISIR) Universiti Teknologi PETRONAS Malaysia"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, Malaysia","institution_ids":["https://openalex.org/I203899302"]},{"raw_affiliation_string":"Centre for Intelligent Signal and Imaging Research (CISIR) Universiti Teknologi PETRONAS Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077623317","display_name":"Aamir Saeed Malik","orcid":"https://orcid.org/0000-0003-1085-3157"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Aamir Saeed Malik","raw_affiliation_strings":["Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, Malaysia","Centre for Intelligent Signal and Imaging Research (CISIR) Universiti Teknologi PETRONAS Malaysia"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, Malaysia","institution_ids":["https://openalex.org/I203899302"]},{"raw_affiliation_string":"Centre for Intelligent Signal and Imaging Research (CISIR) Universiti Teknologi PETRONAS Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017302711","display_name":"Nicolas Walter","orcid":null},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Walter Nicolas","raw_affiliation_strings":["Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, Malaysia","Centre for Intelligent Signal and Imaging Research (CISIR) Universiti Teknologi PETRONAS Malaysia"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, Malaysia","institution_ids":["https://openalex.org/I203899302"]},{"raw_affiliation_string":"Centre for Intelligent Signal and Imaging Research (CISIR) Universiti Teknologi PETRONAS Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018883645","display_name":"Ibrahima Faye","orcid":"https://orcid.org/0000-0001-7777-1119"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ibrahima Faye","raw_affiliation_strings":["Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, Malaysia","Centre for Intelligent Signal and Imaging Research (CISIR) Universiti Teknologi PETRONAS Malaysia"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, Malaysia","institution_ids":["https://openalex.org/I203899302"]},{"raw_affiliation_string":"Centre for Intelligent Signal and Imaging Research (CISIR) Universiti Teknologi PETRONAS Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102060164","display_name":"Nadira Nordin","orcid":null},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nadira Nordin","raw_affiliation_strings":["Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, Malaysia","Centre for Intelligent Signal and Imaging Research (CISIR) Universiti Teknologi PETRONAS Malaysia"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, Malaysia","institution_ids":["https://openalex.org/I203899302"]},{"raw_affiliation_string":"Centre for Intelligent Signal and Imaging Research (CISIR) Universiti Teknologi PETRONAS Malaysia","institution_ids":["https://openalex.org/I203899302"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078851910"],"corresponding_institution_ids":["https://openalex.org/I203899302"],"apc_list":null,"apc_paid":null,"fwci":0.9205,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81297109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"1084","last_page":"1089"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9735000133514404,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/reliability","display_name":"Reliability (semiconductor)","score":0.7656799554824829},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.6944761276245117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6904406547546387},{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.6005244851112366},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.46595507860183716},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4444432556629181},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4278537631034851},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.4225448966026306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35222530364990234}],"concepts":[{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.7656799554824829},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.6944761276245117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6904406547546387},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.6005244851112366},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.46595507860183716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4444432556629181},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4278537631034851},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.4225448966026306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35222530364990234},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2015.7151422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2015.7151422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W1499877760","https://openalex.org/W1592980990","https://openalex.org/W1994623790","https://openalex.org/W1995903777","https://openalex.org/W2003877256","https://openalex.org/W2006462489","https://openalex.org/W2034725915","https://openalex.org/W2068653804","https://openalex.org/W2084333694","https://openalex.org/W2102625004","https://openalex.org/W2134824905","https://openalex.org/W2152813046","https://openalex.org/W2158604775","https://openalex.org/W2165575585","https://openalex.org/W4231795354","https://openalex.org/W4300763926","https://openalex.org/W6629695367"],"related_works":["https://openalex.org/W2293149949","https://openalex.org/W2026099691","https://openalex.org/W4284672201","https://openalex.org/W2377486419","https://openalex.org/W2017956276","https://openalex.org/W2943202426","https://openalex.org/W2736714427","https://openalex.org/W2071787278","https://openalex.org/W2382329643","https://openalex.org/W2282723021"],"abstract_inverted_index":{"This":[0],"paper":[1,40],"presents":[2],"an":[3],"evaluation":[4],"on":[5,26],"the":[6,9,21,44,48,74,103,106,114],"reliability":[7,115],"of":[8,20,32,38,56,95,105,116],"bench-mark":[10,60,118],"datasets":[11],"for":[12,50,120],"outdoor":[13,121],"crowd":[14,82],"analytic":[15,83,123],"surveillance":[16,124],"systems.":[17],"The":[18,35,93],"credibility":[19],"databases":[22,49,97,119],"are":[23,71,98],"assessed":[24],"based":[25],"their":[27],"diverseness":[28,94],"to":[29,42,102],"yield":[30],"challenges":[31,45],"dynamic":[33],"environments.":[34],"main":[36],"object":[37],"this":[39],"is":[41,125],"assess":[43],"imposed":[46],"by":[47],"sudden":[51],"illumination":[52],"variance":[53],"and":[54,64,91,111],"effect":[55],"wavering":[57],"trees.":[58],"Two":[59],"databases,":[61],"PETS":[62],"2010":[63],"OTCBVS,":[65],"along":[66],"with":[67,100],"our":[68],"proposed":[69],"dataset":[70],"evaluated":[72],"using":[73,109],"three":[75],"most":[76],"popular":[77],"background":[78],"modelling":[79],"algorithms":[80,108],"in":[81],"surveillance;":[84],"Approximate":[85],"Median":[86],"Method,":[87],"Gaussian":[88],"Mixture":[89],"Model":[90],"Codebook.":[92],"these":[96,117],"assessed,":[99],"respect":[101],"performance":[104],"basic":[107],"qualitatively":[110],"quantitatively.":[112],"Eventually":[113],"crowed":[122],"assessed.":[126]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}