{"id":"https://openalex.org/W2761592212","doi":"https://doi.org/10.1109/tmm.2017.2760633","title":"Robust Tracking and Redetection: Collaboratively Modeling the Target and Its Context","display_name":"Robust Tracking and Redetection: Collaboratively Modeling the Target and Its Context","publication_year":2017,"publication_date":"2017-10-06","ids":{"openalex":"https://openalex.org/W2761592212","doi":"https://doi.org/10.1109/tmm.2017.2760633","mag":"2761592212"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2017.2760633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2017.2760633","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-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/A5100353204","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0002-1228-873X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-1228-873X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101734165","display_name":"Peng Liu","orcid":"https://orcid.org/0000-0003-1833-495X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Liu","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015389773","display_name":"Wei Zhao","orcid":"https://orcid.org/0000-0003-0309-325X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhao","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100873220","display_name":"Xianglong Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianglong Tang","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":1.5333,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.90063744,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":"4","first_page":"889","last_page":"902"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computer-science","display_name":"Computer science","score":0.7454566359519958},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7100250720977783},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7020672559738159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6746670007705688},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6665471792221069},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5532858371734619},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.5183635354042053},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4834635853767395},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.47561246156692505},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.46726885437965393},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3273303508758545},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.21156856417655945},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.128790020942688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7454566359519958},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7100250720977783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7020672559738159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6746670007705688},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6665471792221069},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5532858371734619},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.5183635354042053},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4834635853767395},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.47561246156692505},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.46726885437965393},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3273303508758545},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.21156856417655945},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.128790020942688},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2017.2760633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2017.2760633","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5582189950","display_name":"\u968f\u673a\u4ecb\u8d28\u4e2d\u6210\u50cf\u6a21\u578b\u548c\u56fe\u50cf\u6062\u590d\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61671175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W29474918","https://openalex.org/W161114242","https://openalex.org/W1554825167","https://openalex.org/W1566601044","https://openalex.org/W1908905119","https://openalex.org/W1945612181","https://openalex.org/W1948657956","https://openalex.org/W1955514522","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1984914017","https://openalex.org/W1995903777","https://openalex.org/W1997121481","https://openalex.org/W2015738504","https://openalex.org/W2019357592","https://openalex.org/W2024657922","https://openalex.org/W2033175210","https://openalex.org/W2035379092","https://openalex.org/W2038943746","https://openalex.org/W2044986361","https://openalex.org/W2060814785","https://openalex.org/W2089961441","https://openalex.org/W2098854771","https://openalex.org/W2102062979","https://openalex.org/W2109579504","https://openalex.org/W2118097920","https://openalex.org/W2118345389","https://openalex.org/W2124211486","https://openalex.org/W2126302311","https://openalex.org/W2130026429","https://openalex.org/W2139047213","https://openalex.org/W2154429285","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2158917775","https://openalex.org/W2162383208","https://openalex.org/W2171447090","https://openalex.org/W2218815617","https://openalex.org/W2244956674","https://openalex.org/W2264350531","https://openalex.org/W2343187456","https://openalex.org/W2473060082","https://openalex.org/W2474516676","https://openalex.org/W2474941434","https://openalex.org/W2528183205","https://openalex.org/W2916780012","https://openalex.org/W3098217967","https://openalex.org/W3102624093","https://openalex.org/W6601205835","https://openalex.org/W6606595081","https://openalex.org/W6640787864","https://openalex.org/W6649598916","https://openalex.org/W6665839387","https://openalex.org/W6677907805","https://openalex.org/W6679027886"],"related_works":["https://openalex.org/W2394134009","https://openalex.org/W1971984615","https://openalex.org/W2046099857","https://openalex.org/W2806679586","https://openalex.org/W4315836311","https://openalex.org/W4285271403","https://openalex.org/W2380612839","https://openalex.org/W2091015105","https://openalex.org/W1567854708","https://openalex.org/W4235384131"],"abstract_inverted_index":{"Robust":[0],"object":[1,13],"tracking":[2,17,51,64,70,194],"and":[3,14,35,59,63,67,86,95,149,175,181,187,216],"redetection":[4],"require":[5],"stably":[6],"predicting":[7],"the":[8,11,33,36,42,46,57,60,84,106,109,120,123,127,139,159,162,170,173,176,185,188,193,197,214,225],"trajectory":[9],"of":[10,32,50,108,142,161,172,184,227],"target":[12,34,58,85,93,121,128,146,174,186,198,215],"recovering":[15],"from":[16,91],"failure":[18],"by":[19,45,55,136],"quickly":[20,134],"redetecting":[21],"it":[22,24,131,221],"when":[23],"is":[25,116,129,166,201],"lost":[26],"during":[27],"long-term":[28,228],"tracking.":[29,229],"The":[30,48,178],"locations":[31],"background":[37],"are":[38,99,155],"calculated":[39],"relative":[40],"to":[41,104,118,158,169,206],"region":[43],"occupied":[44],"object.":[47],"effect":[49],"can":[52,132,222],"be":[53,133],"enhanced":[54],"isolating":[56],"background,":[61],"modeling":[62],"them,":[65],"respectively,":[66],"integrating":[68],"their":[69],"results.":[71],"In":[72],"this":[73],"study,":[74],"we":[75],"propose":[76],"an":[77],"approach":[78,165],"that":[79,154,220],"builds":[80],"motion":[81,179],"models":[82,153,180,183,213],"for":[83],"its":[87,217],"context.":[88,177],"Tracking":[89],"results":[90],"a":[92,96,145],"tracker":[94,98,115],"context":[97,189],"integrated":[100],"through":[101,151],"linear":[102],"fusion":[103],"predict":[105],"position":[107],"target.":[110,163],"A":[111],"kernelized":[112],"correlation":[113],"filter":[114],"used":[117],"track":[119],"in":[122,138,192,203],"predicted":[124],"position.":[125],"When":[126],"lost,":[130],"recovered":[135],"searching":[137],"given":[140],"field":[141],"view":[143],"using":[144],"model":[147,199],"built":[148],"updated":[150],"observation":[152,182],"constructed":[156],"prior":[157],"loss":[160],"Our":[164],"not":[167],"sensitive":[168],"segmentation":[171],"work":[190],"together":[191],"process,":[195],"whereas":[196],"alone":[200],"involved":[202],"redetection.":[204],"Experiments":[205],"test":[207],"our":[208],"proposed":[209],"approach,":[210],"which":[211],"simultaneously":[212],"context,":[218],"showed":[219],"effectively":[223],"enhance":[224],"robustness":[226]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
