{"id":"https://openalex.org/W4407737382","doi":"https://doi.org/10.1109/whispers65427.2024.10876425","title":"Spectral-Temporal Token-Guided Prompt Mamba for Hyperspectral Object Tracking","display_name":"Spectral-Temporal Token-Guided Prompt Mamba for Hyperspectral Object Tracking","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4407737382","doi":"https://doi.org/10.1109/whispers65427.2024.10876425"},"language":"en","primary_location":{"id":"doi:10.1109/whispers65427.2024.10876425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers65427.2024.10876425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5042191180","display_name":"Hanzheng Wang","orcid":"https://orcid.org/0000-0003-4416-3226"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzheng Wang","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057387558","display_name":"Yangfan Li","orcid":"https://orcid.org/0000-0002-8965-7134"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangfan Li","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114608967","display_name":"Wei Li","orcid":"https://orcid.org/0009-0004-0265-9789"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44534132,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9472000002861023,"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"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9472000002861023,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9380000233650208,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8068277835845947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6065496802330017},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5661548376083374},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5242170095443726},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4313715398311615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37576374411582947},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34233275055885315},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09197533130645752},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07052546739578247}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8068277835845947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6065496802330017},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5661548376083374},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5242170095443726},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4313715398311615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37576374411582947},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34233275055885315},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09197533130645752},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07052546739578247},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers65427.2024.10876425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers65427.2024.10876425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W2158788032"],"abstract_inverted_index":{"Hyperspectral":[0],"object":[1,6],"tracking":[2],"aims":[3],"to":[4,77,87,97,119,151],"capture":[5,78],"positions":[7],"frame":[8,10],"by":[9],"using":[11,44],"spectral":[12,45,73,79,99,110],"information":[13,36,46,100],"in":[14,47,83,125],"scenarios":[15],"where":[16],"visual":[17],"features":[18],"are":[19],"missing":[20],"or":[21],"disrupted.":[22],"The":[23,104],"existing":[24],"prompt-based":[25],"trackers":[26],"perform":[27],"well.":[28],"However,":[29],"these":[30],"models":[31],"lack":[32],"sufficient":[33],"time":[34,85],"for":[35,38],"mining":[37],"video":[39],"sequences":[40],"and":[41,109,132],"neglect":[42],"fully":[43,120],"the":[48,102,107,122,126,142,169,173],"prompt":[49],"generation":[50],"stage.":[51],"To":[52],"address":[53],"this":[54,56],"issue,":[55],"paper":[57],"proposes":[58],"a":[59,66,72,84,93,113],"Spectral-temporal":[60],"Token-guided":[61],"Tracker":[62],"(STTrack)":[63],"based":[64],"on":[65,134,168],"Prompt":[67],"Mamba":[68],"Module":[69],"(PMM).":[70],"Specifically,":[71],"token":[74],"is":[75,95],"proposed":[76,96,177],"regions":[80],"of":[81,144,155,158,175],"interest":[82],"series,":[86],"guide":[88],"tracker":[89],"learning.":[90],"In":[91,117],"addition,":[92,118],"PMM":[94,133],"incorporate":[98],"into":[101],"tracker.":[103],"module":[105],"compresses":[106],"spatial":[108],"representation":[111],"with":[112],"state":[114],"space":[115],"model.":[116],"utilize":[121],"prior":[123],"knowledge":[124],"RGB":[127,136],"domain,":[128],"we":[129],"fine-tuned":[130],"STTrack":[131],"advanced":[135],"trackers.":[137],"This":[138],"not":[139],"only":[140],"improves":[141],"performance":[143],"our":[145,176],"method":[146],"but":[147],"also":[148],"enables":[149],"us":[150],"process":[152],"hyperspectral":[153],"videos":[154],"any":[156],"number":[157],"bands":[159],"without":[160],"consuming":[161],"excessive":[162],"training":[163],"resources.":[164],"Extensive":[165],"comparison":[166],"experiments":[167],"HOTC-2024":[170],"dataset":[171],"prove":[172],"effectiveness":[174],"methods.":[178]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}