{"id":"https://openalex.org/W2778486984","doi":"https://doi.org/10.1109/dicta.2017.8227474","title":"Part-Based Data Association for Visual Tracking","display_name":"Part-Based Data Association for Visual Tracking","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2778486984","doi":"https://doi.org/10.1109/dicta.2017.8227474","mag":"2778486984"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2017.8227474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2017.8227474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5038945856","display_name":"Zhengqiang Jiang","orcid":"https://orcid.org/0000-0002-5835-1984"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Zhengqiang Jiang","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087072096","display_name":"Du Q. Huynh","orcid":"https://orcid.org/0000-0003-3080-9655"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Du Q. Huynh","raw_affiliation_strings":["School of Computer Science and Software Engineering, The University of Western Australia, Perth, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, The University of Western Australia, Perth, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409994","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-7240-3541"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063629854","display_name":"Qiang Wu","orcid":"https://orcid.org/0000-0001-5641-2483"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qiang Wu","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038945856"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19139156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"82","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9973999857902527,"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/T11448","display_name":"Face recognition and analysis","score":0.9940999746322632,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7815097570419312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7126455903053284},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7111296653747559},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5364001989364624},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5243787169456482},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5200921297073364},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.516446590423584},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5152340531349182},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5042628049850464},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.5019524097442627},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4823457598686218},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4307190179824829},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.42734888195991516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4248766005039215},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.42438358068466187},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.42239224910736084},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3503790497779846},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.27584829926490784},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.1869901418685913},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14888644218444824},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1043233871459961}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7815097570419312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7126455903053284},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7111296653747559},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5364001989364624},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5243787169456482},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5200921297073364},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.516446590423584},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5152340531349182},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5042628049850464},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.5019524097442627},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4823457598686218},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4307190179824829},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.42734888195991516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4248766005039215},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.42438358068466187},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.42239224910736084},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3503790497779846},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.27584829926490784},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.1869901418685913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14888644218444824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1043233871459961},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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":3,"locations":[{"id":"doi:10.1109/dicta.2017.8227474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2017.8227474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/f561d395-6d15-4723-a856-ddd862c589a7","is_oa":false,"landing_page_url":"https://research-repository.uwa.edu.au/en/publications/f561d395-6d15-4723-a856-ddd862c589a7","pdf_url":null,"source":{"id":"https://openalex.org/S4306402523","display_name":"UWA Profiles and Research Repository (University of Western Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Jiang , Z , Huynh , D Q , Zhang , J & Wu , Q 2017 , Part-based data association for visual tracking . in Y Guo , M Murshed , Z Wang , D D Feng , H Li , W T Cai & J Gao (eds) , 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA) . DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications , vol. 2017-December , IEEE, Institute of Electrical and Electronics Engineers , United States , pp. 1-8 , 2017 International Conference on Digital Image Computing: Techniques and Applications , Sydney , Australia , 29/11/17 . https://doi.org/10.1109/DICTA.2017.8227474","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/126135","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/126135","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W219040644","https://openalex.org/W1615739705","https://openalex.org/W1970653520","https://openalex.org/W1984914017","https://openalex.org/W1995903777","https://openalex.org/W2031868600","https://openalex.org/W2060814785","https://openalex.org/W2061736157","https://openalex.org/W2067191022","https://openalex.org/W2071551242","https://openalex.org/W2083342768","https://openalex.org/W2102674365","https://openalex.org/W2105403175","https://openalex.org/W2108215708","https://openalex.org/W2111644456","https://openalex.org/W2113577207","https://openalex.org/W2120419212","https://openalex.org/W2124211486","https://openalex.org/W2126302311","https://openalex.org/W2137285991","https://openalex.org/W2154748700","https://openalex.org/W2154889144","https://openalex.org/W2162383208","https://openalex.org/W2165037244","https://openalex.org/W2166623283","https://openalex.org/W2167089254","https://openalex.org/W2168356304","https://openalex.org/W2217939722","https://openalex.org/W2294602567","https://openalex.org/W2321228400","https://openalex.org/W2343187456","https://openalex.org/W2473532709","https://openalex.org/W2571050459","https://openalex.org/W3120048558","https://openalex.org/W3187867541","https://openalex.org/W6606595081","https://openalex.org/W6665839387","https://openalex.org/W6675521158","https://openalex.org/W6683016761","https://openalex.org/W6683886257","https://openalex.org/W6684332838","https://openalex.org/W6700752264"],"related_works":["https://openalex.org/W2353818951","https://openalex.org/W1605879311","https://openalex.org/W2265978784","https://openalex.org/W2092099917","https://openalex.org/W2132541102","https://openalex.org/W2221500023","https://openalex.org/W2963010494","https://openalex.org/W2012200063","https://openalex.org/W2107332757","https://openalex.org/W2132182117"],"abstract_inverted_index":{"We":[0,22,94],"present":[1],"a":[2,6,12,29],"method":[3,99,126],"that":[4,105,123],"integrates":[5],"part-based":[7],"sparse":[8,25],"appearance":[9,26,64],"model":[10,27,91],"in":[11,19,80,108],"Bayesian":[13],"inference":[14],"framework":[15],"for":[16],"tracking":[17,98,125,130],"targets":[18],"video":[20,103],"sequences.":[21],"formulate":[23],"the":[24,37,42,61,76,81,102,112],"as":[28],"set":[30],"of":[31,51],"smoothed":[32],"colour":[33],"histograms":[34],"corresponding":[35],"to":[36],"object":[38],"windows":[39],"detected":[40],"by":[41],"Deformable":[43],"Part":[44],"Model":[45],"(DPM)":[46],"detector.":[47],"The":[48],"data":[49],"association":[50],"each":[52],"body":[53],"part":[54,77],"between":[55],"frames":[56],"is":[57,84],"solved":[58],"based":[59],"on":[60,100],"position":[62],"constraint,":[63],"coherence,":[65],"and":[66,73,114],"motion":[67],"consistency.":[68],"To":[69],"deal":[70],"with":[71],"missing":[72],"noisy":[74],"observations,":[75],"detection":[78],"window":[79],"following":[82],"frame":[83],"also":[85],"predicted":[86],"using":[87],"an":[88],"interacting":[89],"multiple":[90],"(IMM)":[92],"tracker.":[93],"have":[95],"tested":[96],"our":[97,124],"all":[101],"sequences":[104],"involve":[106],"people":[107],"upright":[109],"poses":[110],"from":[111],"TB-50":[113],"TB-100":[115],"benchmark":[116],"videos":[117],"datasets.":[118],"Our":[119],"experimental":[120],"results":[121],"show":[122],"outperforms":[127],"six":[128],"state-of-the-art":[129],"techniques.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}