{"id":"https://openalex.org/W4387968405","doi":"https://doi.org/10.1145/3581783.3612240","title":"Unambiguous Object Tracking by Exploiting Target Cues","display_name":"Unambiguous Object Tracking by Exploiting Target Cues","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968405","doi":"https://doi.org/10.1145/3581783.3612240"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612240","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5102735157","display_name":"Jie Gao","orcid":"https://orcid.org/0000-0002-7450-5189"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]},{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Gao","raw_affiliation_strings":["Huaqiao University &amp; Guangxi Normal University, Xiamen &amp; Guangxi, China"],"raw_orcid":"https://orcid.org/0000-0002-7450-5189","affiliations":[{"raw_affiliation_string":"Huaqiao University &amp; Guangxi Normal University, Xiamen &amp; Guangxi, China","institution_ids":["https://openalex.org/I29739308","https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058101262","display_name":"Bineng Zhong","orcid":"https://orcid.org/0000-0003-3423-1539"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bineng Zhong","raw_affiliation_strings":["Guangxi Normal University, Guangxi, China"],"raw_orcid":"https://orcid.org/0000-0003-3423-1539","affiliations":[{"raw_affiliation_string":"Guangxi Normal University, Guangxi, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100378074","display_name":"Yan Chen","orcid":"https://orcid.org/0000-0002-3006-4123"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Chen","raw_affiliation_strings":["Huaqiao University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-3006-4123","affiliations":[{"raw_affiliation_string":"Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102735157"],"corresponding_institution_ids":["https://openalex.org/I119045251","https://openalex.org/I29739308"],"apc_list":null,"apc_paid":null,"fwci":0.471,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65448566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1997","last_page":"2005"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9775999784469604,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9760000109672546,"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":0.8297731876373291},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7834546566009521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7525205016136169},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7292726039886475},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6890817284584045},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6523690223693848},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6464885473251343},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.500478982925415},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.46883338689804077},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4517554044723511},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35232213139533997},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.26962995529174805}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8297731876373291},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7834546566009521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7525205016136169},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7292726039886475},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6890817284584045},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6523690223693848},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6464885473251343},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.500478982925415},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.46883338689804077},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4517554044723511},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35232213139533997},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.26962995529174805},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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:10.1145/3581783.3612240","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3295794154","display_name":null,"funder_award_id":"61972167","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G500372149","display_name":null,"funder_award_id":"U21A20474","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5529942192","display_name":null,"funder_award_id":"2022TD002","funder_id":"https://openalex.org/F4320325559","funder_display_name":"Guangxi Normal University"},{"id":"https://openalex.org/G8745302444","display_name":null,"funder_award_id":"U21A20474","funder_id":"https://openalex.org/F4320325559","funder_display_name":"Guangxi Normal University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325559","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1857884451","https://openalex.org/W2158592639","https://openalex.org/W2775609985","https://openalex.org/W2886335102","https://openalex.org/W2891033863","https://openalex.org/W2898200825","https://openalex.org/W2963534981","https://openalex.org/W3035725297","https://openalex.org/W3167536469","https://openalex.org/W3167762749","https://openalex.org/W3173871266","https://openalex.org/W3174225630","https://openalex.org/W3181069167","https://openalex.org/W3204554907","https://openalex.org/W4214759957","https://openalex.org/W4285600988","https://openalex.org/W4285603016","https://openalex.org/W4288009762","https://openalex.org/W4288020875","https://openalex.org/W4288562455","https://openalex.org/W4304098539","https://openalex.org/W4312255167","https://openalex.org/W4312735552","https://openalex.org/W4313122408"],"related_works":["https://openalex.org/W4320086059","https://openalex.org/W4313480467","https://openalex.org/W4210734798","https://openalex.org/W4312249400","https://openalex.org/W3093712048","https://openalex.org/W3159642117","https://openalex.org/W2985391290","https://openalex.org/W1904671147","https://openalex.org/W3015573086","https://openalex.org/W4313854689"],"abstract_inverted_index":{"Siamese":[0],"tracking":[1],"exploits":[2],"the":[3,6,16,29,39,54,68,75,100,104,111,115,121,125,129,133,137,146,155],"template":[4,55,139],"and":[5,25,31,42,64,86,148,159],"search":[7],"region":[8],"features":[9],"to":[10,36,46,74,98,108,140,154],"adaptively":[11],"locate":[12],"arbitrary":[13],"objects":[14],"in":[15,28,58],"tracking.":[17,92],"A":[18],"noteworthy":[19],"issue":[20],"is":[21,41],"that":[22,169],"both":[23],"foreground":[24],"background":[26],"mix":[27],"template,":[30],"thus":[32],"a":[33,59,84],"tracker":[34,69,171],"needs":[35],"learn":[37],"what":[38],"target":[40,62,105,126,130,147],"which":[43,71,151],"pixels":[44,72,152],"belong":[45,73,153],"it.":[47],"However,":[48],"existing":[49],"trackers":[50,163],"cannot":[51],"effectively":[52],"exploit":[53],"information,":[56],"resulting":[57],"deficiency":[60],"of":[61,103,114,124],"information":[63,97,113,144],"causing":[65],"confusion":[66],"for":[67,89],"regarding":[70],"target.":[76,116,156],"To":[77],"alleviate":[78],"this":[79],"issue,":[80],"we":[81],"propose":[82],"UTrack,":[83],"simple":[85],"effective":[87],"algorithm":[88],"unambiguous":[90],"object":[91],"UTrack":[93,118,181],"utilizes":[94],"long-term":[95],"contextual":[96],"propagate":[99],"appearance":[101,122],"state":[102],"so":[106],"as":[107],"explicitly":[109],"model":[110],"apparent":[112],"Additionally,":[117],"can":[119,172],"resist":[120],"change":[123],"by":[127],"leveraging":[128],"cues.":[131],"Moreover,":[132],"proposed":[134],"method":[135],"uses":[136],"refined":[138],"obtain":[141],"more":[142],"detailed":[143],"about":[145],"better":[149],"understand":[150],"Extensive":[157],"experiments":[158],"comparisons":[160],"with":[161,176],"competitive":[162],"on":[164,185],"challenging":[165],"large-scale":[166],"benchmarks":[167],"show":[168],"our":[170],"achieve":[173],"state-of-the-art":[174],"performances":[175],"real-time":[177],"running.":[178],"In":[179],"particular,":[180],"achieves":[182],"77.7%":[183],"AO":[184],"GOT-10k.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
