{"id":"https://openalex.org/W4388444894","doi":"https://doi.org/10.48550/arxiv.2311.02072","title":"HIPTrack: Visual Tracking with Historical Prompts","display_name":"HIPTrack: Visual Tracking with Historical Prompts","publication_year":2023,"publication_date":"2023-11-03","ids":{"openalex":"https://openalex.org/W4388444894","doi":"https://doi.org/10.48550/arxiv.2311.02072"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2311.02072","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.02072","pdf_url":"https://arxiv.org/pdf/2311.02072","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2311.02072","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043646407","display_name":"Wenrui Cai","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cai, Wenrui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056847110","display_name":"Qingjie Liu","orcid":"https://orcid.org/0000-0002-5181-6451"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Qingjie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5115589096","display_name":"Yunhong Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yunhong","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043646407"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9196000099182129,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.9554345607757568},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8041385412216187},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6265475749969482},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5834165811538696},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5824706554412842},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5802419185638428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5779369473457336},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5425371527671814},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.49409225583076477},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4177418351173401},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.41008198261260986},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3713158369064331},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35666829347610474},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1780749261379242},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06869041919708252}],"concepts":[{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.9554345607757568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8041385412216187},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6265475749969482},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5834165811538696},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5824706554412842},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5802419185638428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5779369473457336},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5425371527671814},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.49409225583076477},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4177418351173401},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.41008198261260986},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3713158369064331},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35666829347610474},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1780749261379242},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06869041919708252},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/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}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2311.02072","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.02072","pdf_url":"https://arxiv.org/pdf/2311.02072","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2311.02072","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2311.02072","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2311.02072","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.02072","pdf_url":"https://arxiv.org/pdf/2311.02072","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388444894.pdf","grobid_xml":"https://content.openalex.org/works/W4388444894.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"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/W1765993298","https://openalex.org/W2272545788"],"abstract_inverted_index":{"Trackers":[0],"that":[1,72,77,107,165],"follow":[2],"Siamese":[3,79],"paradigm":[4,80],"utilize":[5],"similarity":[6],"matching":[7],"between":[8],"template":[9],"and":[10,40,53,60,83,113,123,161,177],"search":[11],"region":[12],"features":[13,116],"for":[14,126],"tracking.":[15],"Many":[16],"methods":[17,50],"have":[18],"been":[19],"explored":[20],"to":[21,29,120,150],"enhance":[22],"tracking":[23,27],"performance":[24,89,145,195],"by":[25,73],"incorporating":[26],"history":[28],"better":[30],"handle":[31],"scenarios":[32],"involving":[33],"target":[34,119],"appearance":[35],"variations":[36],"such":[37],"as":[38,187],"deformation":[39],"occlusion.":[41],"However,":[42],"the":[43,118,127,138,148,152,169,180],"utilization":[44],"of":[45,65,117],"historical":[46,85,104,110,114,139,181],"information":[47],"in":[48],"existing":[49,192],"is":[51,200],"insufficient":[52],"incomprehensive,":[54],"which":[55,142],"typically":[56],"requires":[57],"repetitive":[58],"training":[59],"introduces":[61],"a":[62,75,87,103,131,188],"large":[63],"amount":[64],"computation.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70,101],"show":[71],"providing":[74,194],"tracker":[76,133],"follows":[78],"with":[81,94],"precise":[82,124],"updated":[84],"information,":[86],"significant":[88],"improvement":[90],"can":[91,184],"be":[92],"achieved":[93],"completely":[95],"unchanged":[96],"parameters.":[97],"Based":[98],"on":[99,137,158,173],"this,":[100],"propose":[102],"prompt":[105,140,182],"network":[106,183],"uses":[108],"refined":[109],"foreground":[111],"masks":[112],"visual":[115],"provide":[121],"comprehensive":[122],"prompts":[125],"tracker.":[128],"We":[129,155],"build":[130],"novel":[132],"called":[134],"HIPTrack":[135],"based":[136],"network,":[141],"achieves":[143],"considerable":[144],"improvements":[146],"without":[147],"need":[149],"retrain":[151],"entire":[153],"model.":[154],"conduct":[156],"experiments":[157],"seven":[159],"datasets":[160],"experimental":[162],"results":[163],"demonstrate":[164],"our":[166],"method":[167],"surpasses":[168],"current":[170],"state-of-the-art":[171],"trackers":[172],"LaSOT,":[174],"LaSOText,":[175],"GOT-10k":[176],"NfS.":[178],"Furthermore,":[179],"seamlessly":[185],"integrate":[186],"plug-and-play":[189],"module":[190],"into":[191],"trackers,":[193],"enhancements.":[196],"The":[197],"source":[198],"code":[199],"available":[201],"at":[202],"https://github.com/WenRuiCai/HIPTrack.":[203]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2023-11-07T00:00:00"}
