{"id":"https://openalex.org/W2046660943","doi":"https://doi.org/10.1145/1991996.1992014","title":"Attribute-based vehicle search in crowded surveillance videos","display_name":"Attribute-based vehicle search in crowded surveillance videos","publication_year":2011,"publication_date":"2011-04-18","ids":{"openalex":"https://openalex.org/W2046660943","doi":"https://doi.org/10.1145/1991996.1992014","mag":"2046660943"},"language":"en","primary_location":{"id":"doi:10.1145/1991996.1992014","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1991996.1992014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM International Conference on Multimedia Retrieval","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/A5052325109","display_name":"Rog\u00e9rio Feris","orcid":"https://orcid.org/0000-0001-6399-0679"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rogerio Feris","raw_affiliation_strings":["IBM T. J. Watson Research Center, New York","IBM T. J. Watson Research Center, New York,"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, New York","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM T. J. Watson Research Center, New York,","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049953837","display_name":"Behjat Siddiquie","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behjat Siddiquie","raw_affiliation_strings":["University of Maryland, Maryland"],"affiliations":[{"raw_affiliation_string":"University of Maryland, Maryland","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078710220","display_name":"Yun Zhai","orcid":"https://orcid.org/0000-0001-5531-585X"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun Zhai","raw_affiliation_strings":["IBM T. J. Watson Research Center, New York","IBM T. J. Watson Research Center, New York,"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, New York","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM T. J. Watson Research Center, New York,","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058082319","display_name":"James Petterson","orcid":null},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"James Petterson","raw_affiliation_strings":["Australian National University/NICTA, Canberra, Australia","Australian National University / NICTA, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"Australian National University/NICTA, Canberra, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I118347636"]},{"raw_affiliation_string":"Australian National University / NICTA, Canberra, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087565623","display_name":"Lisa M. Brown","orcid":"https://orcid.org/0000-0002-3793-7310"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lisa Brown","raw_affiliation_strings":["IBM T. J. Watson Research Center, New York","IBM T. J. Watson Research Center, New York,"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, New York","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM T. J. Watson Research Center, New York,","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078542580","display_name":"Sharath Pankanti","orcid":"https://orcid.org/0000-0001-6770-9899"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sharath Pankanti","raw_affiliation_strings":["IBM T. J. Watson Research Center, New York","IBM T. J. Watson Research Center, New York,"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, New York","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM T. J. Watson Research Center, New York,","institution_ids":["https://openalex.org/I4210114115"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5052325109"],"corresponding_institution_ids":["https://openalex.org/I4210114115"],"apc_list":null,"apc_paid":null,"fwci":3.9256,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.94705431,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"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":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/T10812","display_name":"Human Pose and Action Recognition","score":0.9958000183105469,"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":0.9943000078201294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7830975651741028},{"id":"https://openalex.org/keywords/truck","display_name":"Truck","score":0.6282550692558289},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5951814651489258},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.559151828289032},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5465814471244812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5355244874954224},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5084997415542603},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47030848264694214},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42498356103897095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2756109833717346},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1019880473613739},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10038766264915466}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7830975651741028},{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.6282550692558289},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5951814651489258},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.559151828289032},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5465814471244812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5355244874954224},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5084997415542603},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47030848264694214},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42498356103897095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2756109833717346},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1019880473613739},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10038766264915466},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1991996.1992014","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1991996.1992014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/733796165","is_oa":false,"landing_page_url":"https://hdl.handle.net/1885/733796165","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/26326","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/26326","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the ACM International Conference on Multimedia Retrieval, ICMR'11","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1670526751","https://openalex.org/W2035096001","https://openalex.org/W2036989445","https://openalex.org/W2070604790","https://openalex.org/W2098411764","https://openalex.org/W2102497689","https://openalex.org/W2102625004","https://openalex.org/W2111427798","https://openalex.org/W2112216367","https://openalex.org/W2117203466","https://openalex.org/W2134270519","https://openalex.org/W2135449683","https://openalex.org/W2143208090","https://openalex.org/W2152826865","https://openalex.org/W2153500651","https://openalex.org/W2161969291","https://openalex.org/W2167267877","https://openalex.org/W2169915211","https://openalex.org/W2535410496","https://openalex.org/W2536626143","https://openalex.org/W3097096317","https://openalex.org/W3143107425","https://openalex.org/W3209218696","https://openalex.org/W3214102110","https://openalex.org/W6682478696"],"related_works":["https://openalex.org/W2922421953","https://openalex.org/W3002270006","https://openalex.org/W1504288058","https://openalex.org/W2782964878","https://openalex.org/W2754428891","https://openalex.org/W4281560450","https://openalex.org/W1497101000","https://openalex.org/W2095705906","https://openalex.org/W2331674254","https://openalex.org/W2980691083"],"abstract_inverted_index":{"We":[0,105],"present":[1],"a":[2,22,77,137,175,191],"novel":[3,78],"application":[4],"for":[5,7],"searching":[6],"vehicles":[8],"in":[9,100,119,136],"surveillance":[10],"videos":[11],"based":[12],"on":[13,85],"semantic":[14],"attributes.":[15],"At":[16],"the":[17,19,38,46,57,101,133,148,157,161,168,182],"interface,":[18],"user":[20],"specifies":[21],"set":[23],"of":[24,31,53,68,160,170],"vehicle":[25,80,97,125,172,176],"characteristics":[26],"(such":[27],"as":[28,65,199],"color,":[29],"direction":[30],"travel,":[32],"speed,":[33],"length,":[34],"height,":[35],"etc.)":[36],"and":[37,70,114,152,179,188],"system":[39,55],"automatically":[40],"retrieves":[41],"video":[42],"events":[43],"that":[44,93],"match":[45],"provided":[47],"description.":[48],"A":[49],"key":[50],"differentiating":[51],"aspect":[52,150,158],"our":[54],"is":[56,74,164,177],"ability":[58],"to":[59,111,121,147,166,193,218],"handle":[60],"challenging":[61],"urban":[62],"conditions":[63],"such":[64,198],"high":[66,211],"volumes":[67],"activity":[69],"environmental":[71],"factors.":[72],"This":[73],"achieved":[75],"through":[76],"multi-view":[79],"detection":[81,169],"approach":[82],"which":[83],"relies":[84],"what":[86],"we":[87,131],"call":[88],"motionlet":[89,116,134],"classifiers,":[90],"i.e.":[91],"classifiers":[92],"are":[94,145,186],"learned":[95],"with":[96,123],"samples":[98,144],"clustered":[99],"motion":[102],"configuration":[103],"space.":[104],"employ":[106],"massively":[107],"parallel":[108],"feature":[109],"selection":[110],"learn":[112,132],"compact":[113],"accurate":[115],"detectors.":[117],"Moreover,":[118],"order":[120],"deal":[122],"different":[124,171],"types":[126],"(buses,":[127],"trucks,":[128],"SUVs,":[129],"cars),":[130],"detectors":[135],"shape-free":[138],"appearance":[139],"space,":[140],"where":[141],"all":[142,202],"training":[143],"resized":[146],"same":[149],"ratio,":[151],"then":[153],"during":[154],"test":[155],"time":[156],"ratio":[159],"sliding":[162],"window":[163],"changed":[165],"allow":[167,194],"types.":[173],"Once":[174],"detected":[178],"tracked":[180],"over":[181],"video,":[183],"fine-grained":[184],"attributes":[185],"extracted":[187],"ingested":[189],"into":[190],"database":[192],"future":[195],"search":[196],"queries":[197],"\"Show":[200],"me":[201],"blue":[203],"trucks":[204],"larger":[205],"than":[206],"7ft":[207],"length":[208],"traveling":[209],"at":[210],"speed":[212],"northbound":[213],"last":[214],"Saturday,":[215],"from":[216],"2pm":[217],"5pm\".":[219]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":5}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}
