{"id":"https://openalex.org/W2807894529","doi":"https://doi.org/10.1145/3206025.3206049","title":"An Entropy Model for Loiterer Retrieval across Multiple Surveillance Cameras","display_name":"An Entropy Model for Loiterer Retrieval across Multiple Surveillance Cameras","publication_year":2018,"publication_date":"2018-06-05","ids":{"openalex":"https://openalex.org/W2807894529","doi":"https://doi.org/10.1145/3206025.3206049","mag":"2807894529"},"language":"en","primary_location":{"id":"doi:10.1145/3206025.3206049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3206025.3206049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM on 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/A5026840924","display_name":"Maguell L. T. L. Sandifort","orcid":null},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Maguell L. T. L. Sandifort","raw_affiliation_strings":["Utrecht University, Utrecht, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utrecht University, Utrecht, Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079797505","display_name":"Jianquan Liu","orcid":"https://orcid.org/0000-0003-4303-9020"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jianquan Liu","raw_affiliation_strings":["NEC Corporation, Kawasaki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation, Kawasaki, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043621115","display_name":"Shoji Nishimura","orcid":"https://orcid.org/0000-0001-5975-2002"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoji Nishimura","raw_affiliation_strings":["NEC Corporation, Kawasaki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation, Kawasaki, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015808518","display_name":"Wolfgang H\u00fcrst","orcid":"https://orcid.org/0000-0002-5112-9774"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Wolfgang H\u00fcrst","raw_affiliation_strings":["Utrecht University, Utrecht, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utrecht University, Utrecht, Netherlands","institution_ids":["https://openalex.org/I193662353"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.742,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76696675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"309","last_page":"317"},"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":0.9995999932289124,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9987999796867371,"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":0.7816668748855591},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7517467737197876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6555304527282715},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5882212519645691},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.558964192867279},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5456777215003967},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.49060192704200745},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.42490875720977783}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7816668748855591},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7517467737197876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6555304527282715},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5882212519645691},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.558964192867279},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5456777215003967},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.49060192704200745},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.42490875720977783},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3206025.3206049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3206025.3206049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},{"id":"pmh:uu:oai:dspace.library.uu.nl:1874/374633","is_oa":false,"landing_page_url":"https://dspace.library.uu.nl/handle/1874/374633","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICMR 2018 - Proceedings of the 2018 ACM International Conference on Multimedia Retrieval, 309. Association for Computing Machinery","raw_type":"info:eu-repo/semantics/bookpart"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W102489219","https://openalex.org/W1557852003","https://openalex.org/W2034899024","https://openalex.org/W2061304929","https://openalex.org/W2118420726","https://openalex.org/W2172248449","https://openalex.org/W2210900744","https://openalex.org/W2317910575","https://openalex.org/W2402736895","https://openalex.org/W2524654987","https://openalex.org/W2585384255"],"related_works":["https://openalex.org/W2045155990","https://openalex.org/W4313163053","https://openalex.org/W1941703695","https://openalex.org/W3131574667","https://openalex.org/W2373557848","https://openalex.org/W2088970451","https://openalex.org/W2157008402","https://openalex.org/W2592302855","https://openalex.org/W3041490575","https://openalex.org/W2970690932"],"abstract_inverted_index":{"Loitering":[0],"is":[1],"a":[2,77,81],"suspicious":[3,21],"behavior":[4,22],"that":[5,72,115],"often":[6],"leads":[7],"to":[8,33,36,107,121],"criminal":[9],"actions,":[10],"such":[11,59],"as":[12,60,87],"pickpocketing":[13],"and":[14,30,63,104],"illegal":[15],"entry.":[16],"Tracking":[17],"methods":[18],"can":[19,84,127],"determine":[20],"based":[23],"on":[24,47,80],"trajectory,":[25],"but":[26,50,126],"require":[27],"continuous":[28],"appearance":[29,43,62],"are":[31],"difficult":[32],"scale":[34],"up":[35],"multi-camera":[37],"systems.":[38],"Using":[39],"the":[40,74,124],"duration":[41],"of":[42,44,56,65,76,90,123],"features":[45,79],"works":[46],"multiple":[48,94],"cameras,":[49],"does":[51],"not":[52],"consider":[53],"major":[54],"aspects":[55],"loitering":[57,109],"behavior,":[58],"repeated":[61],"trajectory":[64,91],"candidates.":[66,131],"We":[67,97],"introduce":[68],"an":[69,88],"entropy":[70],"model":[71],"maps":[73],"location":[75],"person's":[78],"heatmap.":[82],"It":[83],"be":[85],"used":[86],"abstraction":[89],"tracking":[92],"across":[93],"surveillance":[95],"cameras.":[96],"evaluate":[98],"our":[99,116],"method":[100],"over":[101],"several":[102],"datasets":[103],"compare":[105],"it":[106],"other":[108],"detection":[110],"methods.":[111],"The":[112],"results":[113,120],"show":[114],"approach":[117],"has":[118],"similar":[119],"state":[122],"art,":[125],"provide":[128],"additional":[129],"interesting":[130]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
