{"id":"https://openalex.org/W2766245079","doi":"https://doi.org/10.1145/3144789.3144802","title":"Correlation Filtering Target Tracking Based on Color and Part Spatial Relation Constraints","display_name":"Correlation Filtering Target Tracking Based on Color and Part Spatial Relation Constraints","publication_year":2017,"publication_date":"2017-07-17","ids":{"openalex":"https://openalex.org/W2766245079","doi":"https://doi.org/10.1145/3144789.3144802","mag":"2766245079"},"language":"en","primary_location":{"id":"doi:10.1145/3144789.3144802","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3144789.3144802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Intelligent Information Processing","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/A5076793177","display_name":"Wenbi Rao","orcid":"https://orcid.org/0000-0003-1465-1544"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rao Wenbi","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052867483","display_name":"Rao Chunyang","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rao Chunyang","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014478389","display_name":"Xiong Qiang","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiong Qiang","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15187519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"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":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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9359999895095825,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7519524693489075},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7170093655586243},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6930691599845886},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.6834627985954285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6497009992599487},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6121686100959778},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5742835402488708},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5284321904182434},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49209755659103394},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45359984040260315},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4513494074344635},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.43951404094696045},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43699249625205994},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.35653942823410034},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.33556580543518066},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3285902440547943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2304776906967163}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7519524693489075},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7170093655586243},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6930691599845886},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6834627985954285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6497009992599487},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6121686100959778},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5742835402488708},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5284321904182434},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49209755659103394},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45359984040260315},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4513494074344635},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.43951404094696045},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43699249625205994},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.35653942823410034},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.33556580543518066},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3285902440547943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2304776906967163},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3144789.3144802","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3144789.3144802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Intelligent Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1908905119","https://openalex.org/W1937954682","https://openalex.org/W1955514522","https://openalex.org/W1964846093","https://openalex.org/W1988689205","https://openalex.org/W1997121481","https://openalex.org/W2001785244","https://openalex.org/W2023640470","https://openalex.org/W2024029849","https://openalex.org/W2031489346","https://openalex.org/W2034938692","https://openalex.org/W2060814785","https://openalex.org/W2098941887","https://openalex.org/W2102674365","https://openalex.org/W2109026901","https://openalex.org/W2118345389","https://openalex.org/W2121193292","https://openalex.org/W2139047213","https://openalex.org/W2140595412","https://openalex.org/W2147533695","https://openalex.org/W2154889144","https://openalex.org/W2156547441","https://openalex.org/W2162383208","https://openalex.org/W2167089254","https://openalex.org/W2916780012","https://openalex.org/W4249142012","https://openalex.org/W4249914127"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W178060743","https://openalex.org/W2909390414","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W2141888607","https://openalex.org/W2753886513","https://openalex.org/W2070920257","https://openalex.org/W1765993298"],"abstract_inverted_index":{"Since":[0],"the":[1,4,16,20,24,31,65,76,82,92,109,114,118,126,131,136,142,146,153],"model":[2],"of":[3,19,75,94,108,117],"correlated":[5],"filter":[6,149,155],"trackers":[7],"is":[8,34,101],"sensitive":[9],"to":[10,78,91,103],"deformation":[11],"and":[12,57,70,81,112,152],"occlusion":[13],"depending":[14],"on":[15,55,85],"spatial":[17],"layout":[18],"object":[21,33],"being":[22],"tracked,":[23,80],"tracker":[25],"drifts":[26],"or":[27,36,140],"even":[28],"fails":[29],"when":[30,135],"tracked":[32],"deformed":[35],"partially":[37],"obscured.":[38],"Aiming":[39],"at":[40],"this":[41,43],"problem,":[42],"paper":[44],"proposes":[45],"a":[46],"tracking":[47,150,156,165],"algorithm":[48,63,128,151,157],"named":[49],"Correlation":[50],"Tracking":[51,53],"Target":[52],"Based":[54],"Color":[56],"Part":[58],"Spatial":[59],"Relation":[60],"Constraints.":[61],"The":[62,96,121],"uses":[64],"global":[66],"color":[67,86],"statistical":[68],"feature":[69,74,83,100],"target":[71,77,97,119,132,137],"component":[72,98],"sub-block":[73,99],"be":[79],"based":[84],"statistics":[87],"has":[88],"strong":[89],"robustness":[90],"change":[93],"shape.":[95],"used":[102],"jointly":[104],"learn":[105],"all":[106],"parts":[107],"correlation":[110,148,154],"filter,":[111],"retain":[113],"structural":[115],"information":[116],"object.":[120],"simulation":[122],"results":[123],"show":[124],"that":[125],"improved":[127],"can":[129],"track":[130],"more":[133],"accurately":[134],"moves":[138],"rapidly":[139],"occludes":[141],"target,":[143],"such":[144],"as":[145],"kernel":[147],"with":[158,162],"scale":[159],"estimation,":[160],"compared":[161],"many":[163],"current":[164],"algorithms.":[166]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
