{"id":"https://openalex.org/W2605173812","doi":"https://doi.org/10.1109/iccv.2017.128","title":"Need for Speed: A Benchmark for Higher Frame Rate Object Tracking","display_name":"Need for Speed: A Benchmark for Higher Frame Rate Object Tracking","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2605173812","doi":"https://doi.org/10.1109/iccv.2017.128","mag":"2605173812"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2017.128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2017.128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Computer Vision (ICCV)","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/A5004859772","display_name":"Hamed Kiani Galoogahi","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hamed Kiani Galoogahi","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031317652","display_name":"Ashton Fagg","orcid":null},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ashton Fagg","raw_affiliation_strings":["SAIVT Lab, Queensland University of Technology"],"affiliations":[{"raw_affiliation_string":"SAIVT Lab, Queensland University of Technology","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083889298","display_name":"Chen Huang","orcid":"https://orcid.org/0000-0002-4978-493X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen Huang","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004353237","display_name":"Deva Ramanan","orcid":"https://orcid.org/0009-0008-9180-8983"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deva Ramanan","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055053078","display_name":"Simon Lucey","orcid":"https://orcid.org/0000-0002-6326-042X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simon Lucey","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004859772"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":11.0005,"has_fulltext":false,"cited_by_count":519,"citation_normalized_percentile":{"value":0.98896654,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1134","last_page":"1143"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9916999936103821,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9842000007629395,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8117411136627197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.796786904335022},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.7957695722579956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.758263349533081},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7233741283416748},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.721322774887085},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6845470666885376},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6137168407440186},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.6092292666435242},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6053735017776489},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5610727071762085},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3722357451915741},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.11238199472427368}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8117411136627197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.796786904335022},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.7957695722579956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.758263349533081},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7233741283416748},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.721322774887085},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6845470666885376},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6137168407440186},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.6092292666435242},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6053735017776489},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5610727071762085},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3722357451915741},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.11238199472427368},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccv.2017.128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2017.128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W182940129","https://openalex.org/W193981306","https://openalex.org/W194230875","https://openalex.org/W818325216","https://openalex.org/W857627204","https://openalex.org/W1506491340","https://openalex.org/W1513768190","https://openalex.org/W1519060350","https://openalex.org/W1686810756","https://openalex.org/W1813335492","https://openalex.org/W1857884451","https://openalex.org/W1892578678","https://openalex.org/W1915785815","https://openalex.org/W1955514522","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1980475298","https://openalex.org/W1997121481","https://openalex.org/W2044986361","https://openalex.org/W2089961441","https://openalex.org/W2118097920","https://openalex.org/W2126302311","https://openalex.org/W2130026429","https://openalex.org/W2149829493","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2186330282","https://openalex.org/W2211629196","https://openalex.org/W2214352687","https://openalex.org/W2244956674","https://openalex.org/W2408241409","https://openalex.org/W2470394683","https://openalex.org/W2470456807","https://openalex.org/W2473868734","https://openalex.org/W2518013266","https://openalex.org/W2518876086","https://openalex.org/W2599547527","https://openalex.org/W2964111344","https://openalex.org/W2964253307","https://openalex.org/W3102624093","https://openalex.org/W4205265922","https://openalex.org/W6623108133","https://openalex.org/W6630908557","https://openalex.org/W6638574092","https://openalex.org/W6649598916","https://openalex.org/W6677907805","https://openalex.org/W6678515836","https://openalex.org/W6679027886","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2012200063","https://openalex.org/W4320086059","https://openalex.org/W4210734798","https://openalex.org/W4312249400","https://openalex.org/W2405278583","https://openalex.org/W2985391290","https://openalex.org/W3093712048","https://openalex.org/W3015573086","https://openalex.org/W3159642117","https://openalex.org/W1904671147"],"abstract_inverted_index":{"In":[0],"this":[1,194],"paper,":[2],"we":[3],"propose":[4],"the":[5,162,172],"first":[6,173],"higher":[7,37,88,114,152],"frame":[8,38,89,115,153],"rate":[9,39,90,154],"video":[10],"dataset":[11,25,167],"(called":[12],"Need":[13],"for":[14,20,133,171,190],"Speed":[15],"-":[16,66],"NfS)":[17],"and":[18,56,84,103,161,168,183],"benchmark":[19,76,169],"visual":[21,64],"object":[22],"tracking.":[23],"The":[24],"consists":[26],"of":[27,81,95,107,158,180],"100":[28],"videos":[29],"(380K":[30],"frames)":[31],"captured":[32],"with":[33,51,62,151],"now":[34],"commonly":[35],"available":[36,187],"(240":[40],"FPS)":[41],"cameras":[42],"from":[43],"real":[44],"world":[45],"scenarios.":[46],"All":[47],"frames":[48],"are":[49,59],"annotated":[50],"axis":[52],"aligned":[53],"bounding":[54],"boxes":[55],"all":[57],"sequences":[58],"manually":[60],"labelled":[61],"nine":[63],"attributes":[65],"such":[67,119,181],"as":[68,120,137],"occlusion,":[69],"fast":[70],"motion,":[71],"background":[72],"clutter,":[73],"etc.":[74],"Our":[75,166],"provides":[77],"an":[78],"extensive":[79],"evaluation":[80],"many":[82],"recent":[83],"state-of-the-art":[85],"trackers":[86,97,118],"on":[87,127],"sequences.":[91],"We":[92],"ranked":[93],"each":[94],"these":[96],"according":[98],"to":[99,145,188],"their":[100],"tracking":[101],"accuracy":[102],"real-time":[104,159],"performance.":[105],"One":[106],"our":[108,176],"surprising":[109],"conclusions":[110],"is":[111],"that":[112,132],"at":[113],"rates,":[116],"simple":[117],"correlation":[121],"filters":[122],"outperform":[123],"complex":[124],"methods":[125],"based":[126],"deep":[128],"networks.":[129],"This":[130],"suggests":[131],"practical":[134],"applications":[135],"(such":[136],"in":[138,193],"robotics":[139],"or":[140],"embedded":[141],"vision),":[142],"one":[143],"needs":[144],"carefully":[146],"tradeoff":[147],"bandwidth":[148],"constraints":[149],"associated":[150],"acquisition,":[155],"computational":[156],"costs":[157],"analysis,":[160],"required":[163],"application":[164],"accuracy.":[165],"allows":[170],"time":[174],"(to":[175],"knowledge)":[177],"systematic":[178],"exploration":[179],"issues,":[182],"will":[184],"be":[185],"made":[186],"allow":[189],"further":[191],"research":[192],"space.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":65},{"year":2024,"cited_by_count":92},{"year":2023,"cited_by_count":82},{"year":2022,"cited_by_count":72},{"year":2021,"cited_by_count":73},{"year":2020,"cited_by_count":60},{"year":2019,"cited_by_count":43},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}