{"id":"https://openalex.org/W2766641843","doi":"https://doi.org/10.1145/3123266.3123381","title":"Deep Location-Specific Tracking","display_name":"Deep Location-Specific Tracking","publication_year":2017,"publication_date":"2017-10-19","ids":{"openalex":"https://openalex.org/W2766641843","doi":"https://doi.org/10.1145/3123266.3123381","mag":"2766641843"},"language":"en","primary_location":{"id":"doi:10.1145/3123266.3123381","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3123381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th 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/A5113170134","display_name":"Lingxiao Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Lingxiao Yang","raw_affiliation_strings":["Hong Kong Polytechnic University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042370642","display_name":"Risheng Liu","orcid":"https://orcid.org/0000-0002-9554-0565"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Risheng Liu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325058","display_name":"David Zhang","orcid":"https://orcid.org/0000-0002-5027-5286"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"David Zhang","raw_affiliation_strings":["Hong Kong Polytechnic University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Hong Kong Polytechnic University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113170134"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":1.8204,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.91677148,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1309","last_page":"1317"},"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9861000180244446,"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/computer-science","display_name":"Computer science","score":0.8279378414154053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7249718308448792},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.64913409948349},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.6316925883293152},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5795398354530334},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5776193737983704},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5369088649749756},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5358515977859497},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5314183235168457},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5194046497344971},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.4789222478866577},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.44742706418037415},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4336598515510559},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4274429380893707},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3712993860244751},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3178834915161133}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8279378414154053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7249718308448792},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.64913409948349},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6316925883293152},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5795398354530334},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5776193737983704},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5369088649749756},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5358515977859497},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5314183235168457},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5194046497344971},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.4789222478866577},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.44742706418037415},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4336598515510559},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4274429380893707},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3712993860244751},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3178834915161133},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3123266.3123381","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3123381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/74901","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/74901","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W182940129","https://openalex.org/W1854404533","https://openalex.org/W1857884451","https://openalex.org/W1915599933","https://openalex.org/W1955514522","https://openalex.org/W1955741794","https://openalex.org/W1956687234","https://openalex.org/W1963882359","https://openalex.org/W1964846093","https://openalex.org/W1981219153","https://openalex.org/W1994002998","https://openalex.org/W1997121481","https://openalex.org/W2000326692","https://openalex.org/W2038800035","https://openalex.org/W2066513826","https://openalex.org/W2089961441","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2126302311","https://openalex.org/W2130026429","https://openalex.org/W2139047213","https://openalex.org/W2154889144","https://openalex.org/W2155541015","https://openalex.org/W2158592639","https://openalex.org/W2161969291","https://openalex.org/W2165037244","https://openalex.org/W2167089254","https://openalex.org/W2188226927","https://openalex.org/W2194775991","https://openalex.org/W2211629196","https://openalex.org/W2214352687","https://openalex.org/W2244956674","https://openalex.org/W2293873019","https://openalex.org/W2343187456","https://openalex.org/W2345876385","https://openalex.org/W2408241409","https://openalex.org/W2469582947","https://openalex.org/W2470394683","https://openalex.org/W2473868734","https://openalex.org/W2513005088","https://openalex.org/W2518013266","https://openalex.org/W2527367461","https://openalex.org/W2618530766","https://openalex.org/W2916780012","https://openalex.org/W2952558221","https://openalex.org/W2962835968","https://openalex.org/W2986028972","https://openalex.org/W3102624093","https://openalex.org/W4300435436","https://openalex.org/W6602703391"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W178060743","https://openalex.org/W2909390414","https://openalex.org/W3104472694","https://openalex.org/W2141888607","https://openalex.org/W2753886513","https://openalex.org/W1765993298"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Network":[2],"(CNN)":[3],"based":[4,131,166],"methods":[5],"have":[6,134],"shown":[7],"significant":[8],"performance":[9],"gains":[10],"in":[11,17,81,112,126],"the":[12,37,56,79,82,92,98,102,109,113,119,123,127,185],"problem":[13,58,160],"of":[14,25,94,137],"visual":[15,38],"tracking":[16,39,57,155,194],"recent":[18],"years.":[19],"Due":[20],"to":[21,90,143,145,151],"many":[22,105],"uncertain":[23],"changes":[24],"objects":[26],"online,":[27],"such":[28],"as":[29,116,118],"abrupt":[30],"motion,":[31],"background":[32],"clutter":[33],"and":[34,63,67,85,140,172],"large":[35],"deformation,":[36],"is":[40,200],"still":[41],"a":[42,47,60,64,87,163],"challenging":[43],"task.":[44,74],"We":[45,157],"propose":[46],"novel":[48],"algorithm,":[49],"namely":[50],"Deep":[51],"Location-Specific":[52],"Tracking,":[53],"which":[54],"decomposes":[55],"into":[59],"localization":[61,76,124],"task":[62],"classification":[65,99,164],"task,":[66],"trains":[68],"an":[69],"individual":[70],"network":[71,77,100,125,165],"for":[72,196],"each":[73],"The":[75,198],"exploits":[78],"information":[80],"current":[83,128],"frame":[84],"provides":[86],"specific":[88],"location":[89,111],"improve":[91],"probability":[93],"successful":[95],"tracking,":[96],"while":[97],"finds":[101],"target":[103,110],"among":[104],"examples":[106],"generated":[107],"around":[108],"previous":[114],"frame,":[115],"well":[117],"one":[120],"estimated":[121],"from":[122],"frame.":[129],"CNN":[130],"trackers":[132],"often":[133],"massive":[135],"number":[136],"trainable":[138],"parameters,":[139],"are":[141],"prone":[142],"over-fitting":[144],"some":[146],"particular":[147],"object":[148],"states,":[149],"leading":[150],"less":[152],"precision":[153],"or":[154],"drift.":[156],"address":[158],"this":[159],"by":[161],"learning":[162],"on":[167,179],"1":[168,170],"\u00d7":[169],"convolution":[171],"global":[173],"average":[174],"pooling.":[175],"Extensive":[176],"experimental":[177],"results":[178,190],"popular":[180],"benchmark":[181],"datasets":[182],"show":[183],"that":[184],"proposed":[186],"tracker":[187],"achieves":[188],"competitive":[189],"without":[191],"using":[192],"additional":[193],"videos":[195],"fine-tuning.":[197],"code":[199],"available":[201],"at":[202],"https://github.com/ZjjConan/DLST":[203]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
