{"id":"https://openalex.org/W2135364872","doi":"https://doi.org/10.1109/cvprw.2010.5543780","title":"Tracking via object reflectance using a hyperspectral video camera","display_name":"Tracking via object reflectance using a hyperspectral video camera","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2135364872","doi":"https://doi.org/10.1109/cvprw.2010.5543780","mag":"2135364872"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2010.5543780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2010.5543780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops","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/A5101985554","display_name":"Hien Van Nguyen","orcid":"https://orcid.org/0000-0001-7280-2182"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hien Van Nguyen","raw_affiliation_strings":["Center for Autom. Res., University of Maryland at College Park, College Park, MD, US","[Center for Automation Research, University of Maryland at College Park, USA]"],"affiliations":[{"raw_affiliation_string":"Center for Autom. Res., University of Maryland at College Park, College Park, MD, US","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"[Center for Automation Research, University of Maryland at College Park, USA]","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074780573","display_name":"Amit Banerjee","orcid":"https://orcid.org/0000-0002-0473-0823"},"institutions":[{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Banerjee","raw_affiliation_strings":["Applied Physics Laboratory, Johns Hopkins University, USA","Applied Physics Laboratory, Johns Hopkins University, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Applied Physics Laboratory, Johns Hopkins University, USA","institution_ids":["https://openalex.org/I2802946424"]},{"raw_affiliation_string":"Applied Physics Laboratory, Johns Hopkins University, USA#TAB#","institution_ids":["https://openalex.org/I2802946424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102762707","display_name":"Rama Chellappa","orcid":"https://orcid.org/0000-0002-7638-1650"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rama Chellappa","raw_affiliation_strings":["Center for Automation Research, University of Maryland at College Park, USA","[Center for Automation Research, University of Maryland at College Park, USA]"],"affiliations":[{"raw_affiliation_string":"Center for Automation Research, University of Maryland at College Park, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"[Center for Automation Research, University of Maryland at College Park, USA]","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101985554"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":1.278,"has_fulltext":false,"cited_by_count":183,"citation_normalized_percentile":{"value":0.82531098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"44","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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":0.9991999864578247,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.995199978351593,"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"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8930691480636597},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.793988823890686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7851179838180542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7059475779533386},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5735025405883789},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5436257123947144},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.4928283989429474},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.44830551743507385},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.42177510261535645},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.35251080989837646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.18117162585258484},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09738308191299438}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8930691480636597},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.793988823890686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7851179838180542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7059475779533386},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5735025405883789},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5436257123947144},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.4928283989429474},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.44830551743507385},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.42177510261535645},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.35251080989837646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.18117162585258484},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09738308191299438},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2010.5543780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2010.5543780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W204885769","https://openalex.org/W616163070","https://openalex.org/W1608180792","https://openalex.org/W1617570115","https://openalex.org/W1970099214","https://openalex.org/W2017859040","https://openalex.org/W2030449718","https://openalex.org/W2037757210","https://openalex.org/W2039093134","https://openalex.org/W2067191022","https://openalex.org/W2100001370","https://openalex.org/W2111857853","https://openalex.org/W2113593239","https://openalex.org/W2123947647","https://openalex.org/W2132103241","https://openalex.org/W2144588963","https://openalex.org/W2149197198","https://openalex.org/W2154319388","https://openalex.org/W2156750271","https://openalex.org/W2159128898","https://openalex.org/W2161170517","https://openalex.org/W2163288162","https://openalex.org/W2167030685","https://openalex.org/W2545554564","https://openalex.org/W3139499394","https://openalex.org/W4388375774","https://openalex.org/W6619114842","https://openalex.org/W6658096495","https://openalex.org/W6683296079","https://openalex.org/W6792379847"],"related_works":["https://openalex.org/W2385949326","https://openalex.org/W2789220062","https://openalex.org/W2542256560","https://openalex.org/W2534746541","https://openalex.org/W35704881","https://openalex.org/W1487175407","https://openalex.org/W2068395580","https://openalex.org/W2146154945","https://openalex.org/W1578117154","https://openalex.org/W2612376223"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,68],"electronics":[3],"and":[4,32,43,63,67,85,107,119],"sensor":[5,26],"design":[6],"have":[7],"enabled":[8],"the":[9,28,51,69,86,93,111,124,130],"development":[10],"of":[11,53,71,104,123],"a":[12],"hyperspectral":[13,19,44,151],"video":[14,23,152],"camera":[15],"that":[16,76],"can":[17],"capture":[18],"datacubes":[20],"at":[21],"near":[22],"rates.":[24],"The":[25,102,144],"offers":[27],"potential":[29],"for":[30,35],"novel":[31],"robust":[33,115],"methods":[34,39],"surveillance":[36],"by":[37,136],"combining":[38],"from":[40],"computer":[41],"vision":[42],"image":[45],"analysis.":[46],"Here,":[47],"we":[48],"focus":[49],"on":[50,96,149],"problem":[52],"tracking":[54],"objects":[55],"through":[56],"challenging":[57],"conditions,":[58],"such":[59],"as":[60],"rapid":[61],"illumination":[62],"pose":[64],"changes,":[65],"occlusions,":[66],"presence":[70],"confusers.":[72],"A":[73],"new":[74],"framework":[75],"incorporates":[77],"radiative":[78],"transfer":[79],"theory":[80],"to":[81,90,113,140],"estimate":[82],"object":[83,94],"reflectance":[84,98],"mean":[87,125],"shift":[88,126],"algorithm":[89],"simultaneously":[91],"track":[92],"based":[95],"its":[97],"spectra":[99],"is":[100],"proposed.":[101],"combination":[103],"spectral":[105,142],"detection":[106],"motion":[108],"prediction":[109],"enables":[110],"tracker":[112,145],"be":[114],"against":[116],"abrupt":[117],"motions,":[118],"facilitate":[120],"fast":[121],"convergence":[122],"tracker.":[127],"In":[128],"addition,":[129],"system":[131],"achieves":[132],"good":[133],"computational":[134],"efficiency":[135],"using":[137],"random":[138],"projection":[139],"reduce":[141],"dimension.":[143],"has":[146],"been":[147],"evaluated":[148],"real":[150],"data.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":21},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-03-02T08:37:19.008085","created_date":"2025-10-10T00:00:00"}
