{"id":"https://openalex.org/W2083691257","doi":"https://doi.org/10.1109/icip.2014.7026119","title":"Sparse representation based anomaly detection with enhanced local dictionaries","display_name":"Sparse representation based anomaly detection with enhanced local dictionaries","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2083691257","doi":"https://doi.org/10.1109/icip.2014.7026119","mag":"2083691257"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7026119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5028532936","display_name":"Sovan Biswas","orcid":"https://orcid.org/0000-0003-1453-3310"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sovan Biswas","raw_affiliation_strings":["Video Analytics Laboratory, Indian Institute of Science, Bangalore, India","[Video Analytics Laboratory Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video Analytics Laboratory, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"[Video Analytics Laboratory Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India]","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113777904","display_name":"R. Venkatesh Babu","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Venkatesh Babu","raw_affiliation_strings":["Video Analytics Laboratory, Indian Institute of Science, Bangalore, India","[Video Analytics Laboratory Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video Analytics Laboratory, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"[Video Analytics Laboratory Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India]","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9604,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.92337854,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"5532","last_page":"5536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.7017332315444946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6556310653686523},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5436205267906189},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5418359637260437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.486870676279068},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4445796012878418}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7017332315444946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6556310653686523},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5436205267906189},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5418359637260437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.486870676279068},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4445796012878418},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7026119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W25451132","https://openalex.org/W65124300","https://openalex.org/W2005876975","https://openalex.org/W2012931101","https://openalex.org/W2097363716","https://openalex.org/W2110934250","https://openalex.org/W2111918405","https://openalex.org/W2122361470","https://openalex.org/W2122463117","https://openalex.org/W2125105611","https://openalex.org/W2138092272","https://openalex.org/W2164261375","https://openalex.org/W2164489414","https://openalex.org/W2170610624","https://openalex.org/W4247760752","https://openalex.org/W6680470121"],"related_works":["https://openalex.org/W2105642232","https://openalex.org/W3197833032","https://openalex.org/W2062195135","https://openalex.org/W3207332793","https://openalex.org/W4386081464","https://openalex.org/W2499612753","https://openalex.org/W2750709484","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W1964749215"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5],"novel":[6],"approach":[7],"for":[8,31],"anomaly":[9,115],"detection":[10,116],"by":[11,69],"modeling":[12],"the":[13,25,29,45,51,56,74,84,107,112],"usual":[14,40,59],"behaviour":[15],"with":[16,61,106,117],"enhanced":[17,118],"dictionary.":[18,125],"The":[19,42],"corresponding":[20],"sparse":[21],"reconstruction":[22],"error":[23],"indicates":[24],"anomaly.":[26],"We":[27,93],"compute":[28],"dictionaries,":[30],"each":[32],"local":[33,52,124],"region,":[34],"from":[35,39],"feature":[36],"descriptors":[37],"obtained":[38],"behavior.":[41],"novelty":[43],"of":[44,58,86],"proposed":[46],"work":[47],"is":[48,67,80],"in":[49,114],"enhancing":[50],"dictionaries":[53,119],"based":[54,82],"on":[55,83,96],"similarity":[57],"behavior":[60,87],"its":[62],"spatial":[63],"neighbors.":[64],"Dictionary":[65],"enhancement":[66],"achieved":[68],"appending":[70],"`transformed":[71,78],"dictionary'":[72,79],"to":[73,104,121],"`local":[75],"dictionary'.":[76],"This":[77],"learned":[81,123],"transformations":[85],"patterns":[88],"across":[89],"two":[90],"neighboring":[91],"regions.":[92],"conduct":[94],"experiments":[95],"widely":[97],"used":[98],"UCSD":[99],"Ped1":[100],"and":[101,110],"Ped2":[102],"datasets":[103],"compare":[105],"existing":[108],"algorithms":[109],"demonstrate":[111],"improvement":[113],"compared":[120],"typically":[122]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
