{"id":"https://openalex.org/W2097241863","doi":"https://doi.org/10.1145/1871437.1871716","title":"Top-Eye","display_name":"Top-Eye","publication_year":2010,"publication_date":"2010-10-26","ids":{"openalex":"https://openalex.org/W2097241863","doi":"https://doi.org/10.1145/1871437.1871716","mag":"2097241863"},"language":"en","primary_location":{"id":"doi:10.1145/1871437.1871716","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871437.1871716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Information and knowledge management","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/A5101744165","display_name":"Yong Ge","orcid":"https://orcid.org/0000-0001-8094-4180"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yong Ge","raw_affiliation_strings":["Rutgers University, Newark, NJ, USA","Rutgers University , Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Newark, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Rutgers University , Newark, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["Rutgers University, Newark, NJ, USA","Rutgers University , Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Newark, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Rutgers University , Newark, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621138","display_name":"Zhi\u2010Hua Zhou","orcid":"https://orcid.org/0000-0003-0746-1494"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-hua Zhou","raw_affiliation_strings":["Nanjing University,China, Nan Jing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University,China, Nan Jing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045939002","display_name":"Hasan Ozdemir","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095956","display_name":"Panasonic (United States)","ror":"https://ror.org/00pvgrv63","country_code":"US","type":"company","lineage":["https://openalex.org/I1283155146","https://openalex.org/I4210095956"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hasan Ozdemir","raw_affiliation_strings":["Panasonic System Solutions Development Center (PSDU) of USA, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Panasonic System Solutions Development Center (PSDU) of USA, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210095956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051755603","display_name":"Jannite Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095956","display_name":"Panasonic (United States)","ror":"https://ror.org/00pvgrv63","country_code":"US","type":"company","lineage":["https://openalex.org/I1283155146","https://openalex.org/I4210095956"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jannite Yu","raw_affiliation_strings":["Panasonic System Solutions Development Center (PSDU) of USA, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Panasonic System Solutions Development Center (PSDU) of USA, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210095956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040335508","display_name":"K. C. Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095956","display_name":"Panasonic (United States)","ror":"https://ror.org/00pvgrv63","country_code":"US","type":"company","lineage":["https://openalex.org/I1283155146","https://openalex.org/I4210095956"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. C. Lee","raw_affiliation_strings":["Panasonic System Solutions Development Center (PSDU) of USA, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Panasonic System Solutions Development Center (PSDU) of USA, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210095956"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101744165"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":7.9793,"has_fulltext":false,"cited_by_count":118,"citation_normalized_percentile":{"value":0.97335045,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1733","last_page":"1736"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9958000183105469,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9937999844551086,"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/computer-science","display_name":"Computer science","score":0.7727047204971313},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6941277384757996},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6881951093673706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6322116255760193},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.6132439970970154},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5389590263366699},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5235716700553894},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5087280869483948},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.4950543940067291},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48257628083229065},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.428791344165802},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1906111240386963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7727047204971313},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6941277384757996},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6881951093673706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6322116255760193},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.6132439970970154},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5389590263366699},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5235716700553894},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5087280869483948},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.4950543940067291},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48257628083229065},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.428791344165802},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1906111240386963},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1871437.1871716","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871437.1871716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1484830317","https://openalex.org/W2037865596","https://openalex.org/W2046466133","https://openalex.org/W2070781416","https://openalex.org/W2084335476","https://openalex.org/W2110413449","https://openalex.org/W2144200194"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W1983393909","https://openalex.org/W2040150569","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"The":[0],"increasing":[1],"availability":[2],"of":[3,22,24,43,62,107,127,136,145],"large-scale":[4],"location":[5,167],"traces":[6,168],"creates":[7],"unprecedent":[8],"opportunities":[9],"to":[10,57,103,148],"change":[11],"the":[12,55,59,85,105,108,112,121,133,141],"paradigm":[13],"for":[14,88],"identifying":[15],"abnormal":[16,63,176],"moving":[17,25,64,123],"activities.":[18],"Indeed,":[19],"various":[20],"aspects":[21,46],"abnormality":[23,51],"patterns":[26],"have":[27],"recently":[28],"been":[29],"exploited,":[30],"such":[31],"as":[32],"wrong":[33],"direction":[34,124],"and":[35,125],"wandering.":[36],"However,":[37],"there":[38],"is":[39,117,147],"no":[40],"recognized":[41],"way":[42],"combining":[44],"different":[45],"into":[47],"an":[48,74,92],"unified":[49],"evolving":[50,60,75,113,122,134,150,175],"score":[52,87],"which":[53,82,116],"has":[54],"ability":[56],"capture":[58,174],"nature":[61],"trajectories.":[65,128,142,177],"To":[66],"that":[67,170],"end,":[68],"in":[69,91,96],"this":[70],"paper,":[71],"we":[72,98],"provide":[73],"trajectory":[76,90],"outlier":[77],"detection":[78],"method,":[79],"named":[80],"TOP-EYE,":[81,97],"continuously":[83],"computes":[84],"outlying":[86,114,138],"each":[89],"accumulating":[93],"way.":[94],"Specifically,":[95],"introduce":[99],"a":[100],"decay":[101,130],"function":[102,131],"mitigate":[104],"influence":[106],"past":[109],"trajectories":[110],"on":[111,120,165],"score,":[115],"defined":[118],"based":[119],"density":[126],"This":[129],"enables":[132],"computation":[135],"accumulated":[137],"scores":[139],"along":[140],"An":[143],"advantage":[144],"TOP-EYE":[146,171],"identify":[149],"outliers":[151],"at":[152],"very":[153],"early":[154],"stage":[155],"with":[156],"relatively":[157],"low":[158],"false":[159],"alarm":[160],"rate.":[161],"Finally,":[162],"experimental":[163],"results":[164],"real-world":[166],"show":[169],"can":[172],"effectively":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":7}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2016-06-24T00:00:00"}