{"id":"https://openalex.org/W2766751932","doi":"https://doi.org/10.1109/tfuzz.2017.2768322","title":"Neighborhood Rough Filter and Intuitionistic Entropy in Unsupervised Tracking","display_name":"Neighborhood Rough Filter and Intuitionistic Entropy in Unsupervised Tracking","publication_year":2017,"publication_date":"2017-11-02","ids":{"openalex":"https://openalex.org/W2766751932","doi":"https://doi.org/10.1109/tfuzz.2017.2768322","mag":"2766751932"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2017.2768322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2017.2768322","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hull-repository.worktribe.com/output/4588989","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033949551","display_name":"Debarati Bhunia Chakraborty","orcid":"https://orcid.org/0000-0002-3131-012X"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Debarati Bhunia Chakraborty","raw_affiliation_strings":["Center for Soft Computing Research, Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Center for Soft Computing Research, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037803714","display_name":"Sankar K. Pal","orcid":"https://orcid.org/0000-0003-3301-4751"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sankar K. Pal","raw_affiliation_strings":["Center for Soft Computing Research, Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Center for Soft Computing Research, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033949551"],"corresponding_institution_ids":["https://openalex.org/I6498739"],"apc_list":null,"apc_paid":null,"fwci":0.6475,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.79200868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"26","issue":"4","first_page":"2188","last_page":"2200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9417999982833862,"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":0.9417999982833862,"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/T11309","display_name":"Music and Audio Processing","score":0.9067999720573425,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6809415817260742},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6709020733833313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5811754465103149},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5578123927116394},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5548108816146851},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4505293667316437},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.448879212141037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4196015000343323},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41141775250434875}],"concepts":[{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6809415817260742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6709020733833313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5811754465103149},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5578123927116394},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5548108816146851},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4505293667316437},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.448879212141037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4196015000343323},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41141775250434875},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tfuzz.2017.2768322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2017.2768322","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"},{"id":"pmh:oai:hull-repository.worktribe.com:4588989","is_oa":true,"landing_page_url":"https://hull-repository.worktribe.com/output/4588989","pdf_url":null,"source":{"id":"https://openalex.org/S4306400827","display_name":"Repository@Hull (Worktribe) (University of Hull)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I191240316","host_organization_name":"University of Hull","host_organization_lineage":["https://openalex.org/I191240316"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:hull-repository.worktribe.com:4588989","is_oa":true,"landing_page_url":"https://hull-repository.worktribe.com/output/4588989","pdf_url":null,"source":{"id":"https://openalex.org/S4306400827","display_name":"Repository@Hull (Worktribe) (University of Hull)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I191240316","host_organization_name":"University of Hull","host_organization_lineage":["https://openalex.org/I191240316"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1554825167","https://openalex.org/W1557923305","https://openalex.org/W1605308969","https://openalex.org/W1987572733","https://openalex.org/W1995903777","https://openalex.org/W1998738999","https://openalex.org/W1999788504","https://openalex.org/W2015148749","https://openalex.org/W2016692957","https://openalex.org/W2022262325","https://openalex.org/W2022346284","https://openalex.org/W2024657922","https://openalex.org/W2041182276","https://openalex.org/W2043105151","https://openalex.org/W2055366607","https://openalex.org/W2057225446","https://openalex.org/W2067179717","https://openalex.org/W2077766785","https://openalex.org/W2083049794","https://openalex.org/W2084718108","https://openalex.org/W2093607776","https://openalex.org/W2103666359","https://openalex.org/W2117613515","https://openalex.org/W2126302311","https://openalex.org/W2127923214","https://openalex.org/W2132103241","https://openalex.org/W2137450455","https://openalex.org/W2138152543","https://openalex.org/W2147953023","https://openalex.org/W2153676086","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2158633287","https://openalex.org/W2163309385","https://openalex.org/W2168690674","https://openalex.org/W2263872497","https://openalex.org/W2280226538","https://openalex.org/W2765691705","https://openalex.org/W3098217967","https://openalex.org/W6692921976"],"related_works":["https://openalex.org/W2494523064","https://openalex.org/W3216148648","https://openalex.org/W2048716124","https://openalex.org/W2121195913","https://openalex.org/W2944661354","https://openalex.org/W2368871293","https://openalex.org/W2353313924","https://openalex.org/W4246948366","https://openalex.org/W2388668038","https://openalex.org/W2607673196"],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"at":[3],"developing":[4],"a":[5,131],"novel":[6,96],"methodology":[7],"for":[8,29],"unsupervised":[9,135],"video":[10,132],"tracking":[11,93,138],"by":[12],"exploring":[13],"the":[14,38,53,81,85,92,120,148],"merits":[15],"of":[16,32,40,52,106,127,137,147],"neighborhood":[17,21,63,67,71,110,114],"rough":[18,22,111],"sets.":[19],"A":[20,95],"filter":[23],"is":[24,101,139],"designed":[25],"in":[26,37,43,61,84,130],"this":[27,77],"process":[28],"initial":[30],"labeling":[31],"continuous":[33],"moving":[34],"object(s)":[35,54],"even":[36,142],"presence":[39],"several":[41],"variations":[42],"different":[44],"feature":[45],"spaces.":[46],"The":[47,134],"locations":[48],"and":[49,69,88,113],"color":[50],"models":[51],"are":[55,73],"estimated":[56],"using":[57],"their":[58],"lower-upper":[59],"approximations":[60],"spatio-color":[62],"granular":[64],"space.":[65],"Velocity":[66],"granules":[68,72],"acceleration":[70],"then":[74],"defined":[75],"over":[76],"estimation":[78],"to":[79,89,117,125],"predict":[80],"object":[82],"location":[83],"next":[86],"frame":[87],"speed":[90],"up":[91],"process.":[94],"concept,":[97],"namely,":[98],"intuitionsistic":[99],"entropy":[100,112,116],"introduced":[102],"here,":[103],"which":[104],"consists":[105],"two":[107],"new":[108],"measures:":[109],"probabilistic":[115],"deal":[118],"with":[119,145],"ambiguities":[121],"that":[122],"arise":[123],"due":[124],"occurrence":[126],"overlapping/":[128],"occlusion":[129],"sequence.":[133],"method":[136],"equally":[140],"good":[141],"when":[143],"compared":[144],"some":[146],"state-of-the":[149],"art":[150],"partially":[151],"supervised":[152],"methods":[153],"while":[154],"showing":[155],"superior":[156],"performance":[157],"during":[158],"total":[159],"occlusion.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}