{"id":"https://openalex.org/W2028207050","doi":"https://doi.org/10.1109/icip.2014.7025088","title":"Assessing tracking assessment measures","display_name":"Assessing tracking assessment measures","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2028207050","doi":"https://doi.org/10.1109/icip.2014.7025088","mag":"2028207050"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025088","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/A5046947641","display_name":"Tahir Nawaz","orcid":"https://orcid.org/0000-0001-9511-8105"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tahir Nawaz","raw_affiliation_strings":["Centre for Intelligent Sensing, Queen Mary University of London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067244774","display_name":"Fabio Poiesi","orcid":"https://orcid.org/0000-0002-9769-1279"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fabio Poiesi","raw_affiliation_strings":["Centre for Intelligent Sensing, Queen Mary University of London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004087827","display_name":"Andrea Cavallaro","orcid":"https://orcid.org/0000-0001-5086-7858"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrea Cavallaro","raw_affiliation_strings":["Centre for Intelligent Sensing, Queen Mary University of London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2472,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58618738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"441","last_page":"445"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9965000152587891,"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":0.9965000152587891,"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":0.9811999797821045,"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":0.95169997215271,"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":0.7801657915115356},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7675598859786987},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6163034439086914},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.5908979177474976},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4534551799297333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44780951738357544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.426943302154541}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7801657915115356},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7675598859786987},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6163034439086914},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.5908979177474976},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4534551799297333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44780951738357544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.426943302154541},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025088","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/16","display_name":"Peace, Justice and strong institutions","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W410107069","https://openalex.org/W1483090249","https://openalex.org/W1485416717","https://openalex.org/W1513768190","https://openalex.org/W1807914171","https://openalex.org/W1985560977","https://openalex.org/W2002406878","https://openalex.org/W2008196728","https://openalex.org/W2020314295","https://openalex.org/W2034276366","https://openalex.org/W2061773916","https://openalex.org/W2073722401","https://openalex.org/W2074302875","https://openalex.org/W2112656320","https://openalex.org/W2121193292","https://openalex.org/W2132103241","https://openalex.org/W2138866680","https://openalex.org/W2141822239","https://openalex.org/W2144344912","https://openalex.org/W2163748562","https://openalex.org/W2170865122","https://openalex.org/W2330585171","https://openalex.org/W2538728174","https://openalex.org/W4233760227","https://openalex.org/W4235881750","https://openalex.org/W4256051231","https://openalex.org/W4285719527","https://openalex.org/W6628690257","https://openalex.org/W6629141386","https://openalex.org/W6630587866","https://openalex.org/W6638399501","https://openalex.org/W6665973531","https://openalex.org/W6680305447"],"related_works":["https://openalex.org/W2386430105","https://openalex.org/W2356521405","https://openalex.org/W2038534795","https://openalex.org/W2384358604","https://openalex.org/W1567829292","https://openalex.org/W3001063351","https://openalex.org/W3196905815","https://openalex.org/W2351370765","https://openalex.org/W3133811809","https://openalex.org/W2321594810"],"abstract_inverted_index":{"We":[0,36],"propose":[1],"a":[2,64],"methodology":[3,16],"to":[4,76],"quantitatively":[5],"compare":[6],"the":[7,21,53,72,78,83,87,92],"relative":[8],"performance":[9,66,81,97],"of":[10,55,71,82,95],"tracking":[11,25,38,96],"evaluation":[12],"measures.":[13],"The":[14,69],"proposed":[15],"is":[17],"based":[18],"on":[19,40],"determining":[20],"probabilistic":[22],"agreement":[23],"between":[24],"result":[26],"decisions":[27],"made":[28,33],"by":[29,34],"measures":[30,85],"and":[31,48,51,59,86],"those":[32],"humans.":[35],"use":[37],"results":[39],"publicly":[41],"available":[42],"datasets":[43],"with":[44],"different":[45,84],"target":[46],"types":[47],"varying":[49],"challenges,":[50],"collect":[52],"judgments":[54],"90":[56],"skilled,":[57],"semi-skilled":[58],"unskilled":[60],"human":[61],"subjects":[62],"using":[63],"web-based":[65],"assessment":[67],"test.":[68],"analysis":[70],"agreements":[73],"allows":[74],"us":[75],"highlight":[77],"variation":[79],"in":[80],"most":[88],"appropriate":[89],"ones":[90],"for":[91],"various":[93],"stages":[94],"evaluation.":[98]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}