{"id":"https://openalex.org/W2789327070","doi":"https://doi.org/10.1145/3163080.3163106","title":"Long-term Tracking with Adaptive Correlation Filters for Object Invisibility","display_name":"Long-term Tracking with Adaptive Correlation Filters for Object Invisibility","publication_year":2017,"publication_date":"2017-11-27","ids":{"openalex":"https://openalex.org/W2789327070","doi":"https://doi.org/10.1145/3163080.3163106","mag":"2789327070"},"language":"en","primary_location":{"id":"doi:10.1145/3163080.3163106","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3163080.3163106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Signal Processing Systems","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/A5024496519","display_name":"Qingwei Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingwei Shao","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002546182","display_name":"Minxian Li","orcid":"https://orcid.org/0000-0002-9716-2369"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minxian Li","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101832764","display_name":"Chunxia Zhao","orcid":"https://orcid.org/0000-0001-6134-4251"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxia Zhao","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024496519"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21582135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"188","last_page":"193"},"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9641000032424927,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/invisibility","display_name":"Invisibility","score":0.9374885559082031},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.7648437023162842},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7440431118011475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7123892903327942},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.6623847484588623},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6129159927368164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6122342944145203},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6113647222518921},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5993580222129822},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.523198127746582},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4703528881072998},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4546913504600525},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.3053290843963623},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.25790414214134216}],"concepts":[{"id":"https://openalex.org/C50962388","wikidata":"https://www.wikidata.org/wiki/Q762018","display_name":"Invisibility","level":2,"score":0.9374885559082031},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.7648437023162842},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7440431118011475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7123892903327942},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6623847484588623},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6129159927368164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6122342944145203},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6113647222518921},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5993580222129822},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.523198127746582},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4703528881072998},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4546913504600525},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.3053290843963623},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25790414214134216},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3163080.3163106","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3163080.3163106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Signal Processing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8471148429","display_name":null,"funder_award_id":"61401212, 61272220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":22,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W1807914171","https://openalex.org/W1908905119","https://openalex.org/W1955514522","https://openalex.org/W1964846093","https://openalex.org/W1997121481","https://openalex.org/W2044986361","https://openalex.org/W2053462008","https://openalex.org/W2089961441","https://openalex.org/W2098941887","https://openalex.org/W2109579504","https://openalex.org/W2124211486","https://openalex.org/W2130026429","https://openalex.org/W2149298154","https://openalex.org/W2152668169","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2165037244","https://openalex.org/W2204810408","https://openalex.org/W2474516676","https://openalex.org/W2512217521","https://openalex.org/W2962824231"],"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/W2070920257","https://openalex.org/W1765993298"],"abstract_inverted_index":{"Long-term":[0],"tracking":[1,31,55],"is":[2,42,57,97],"one":[3],"of":[4,64,103],"the":[5,15,40,46,62,81,86,100,104,121,125,133,140],"most":[6],"challenging":[7,150],"problems":[8],"in":[9,152],"computer":[10],"vision.":[11],"During":[12],"long-term":[13,54],"tracking,":[14],"target":[16],"object":[17,36,41,65,82,87,105,130,153],"may":[18],"suffer":[19],"from":[20],"scale":[21],"changes,":[22,24],"illumination":[23],"heavy":[25],"occlusions,":[26],"out-of-view,":[27],"etc.":[28],"Most":[29],"existing":[30],"methods":[32,123],"fail":[33],"to":[34,79],"handle":[35],"invisibility,":[37],"supposing":[38],"that":[39,117],"always":[43],"visible":[44,108],"throughout":[45],"image":[47],"sequence.":[48],"In":[49,91],"this":[50],"paper,":[51],"a":[52,69],"novel":[53],"method":[56],"proposed,":[58],"which":[59,147],"mainly":[60],"addresses":[61],"problem":[63],"invisibility.":[66,90,131],"We":[67],"combine":[68],"correlation":[70],"filter":[71],"based":[72],"tracker":[73],"with":[74,129,139],"an":[75,93],"online":[76],"classifier,":[77],"aiming":[78],"estimate":[80],"state":[83],"and":[84,109,113],"re-detect":[85],"after":[88],"its":[89],"addition,":[92],"adaptive":[94],"updating":[95],"scheme":[96],"proposed":[98,134],"for":[99],"appearance":[101],"model":[102],"considering":[106],"both":[107],"invisible":[110],"situations.":[111],"Quantitative":[112],"qualitative":[114],"evaluations":[115],"prove":[116],"our":[118],"algorithm":[119,135],"outperforms":[120],"state-of-the-art":[122,141],"on":[124,143],"20":[126],"benchmark":[127],"sequences":[128],"Furthermore,":[132],"achieves":[136],"competitive":[137],"performance":[138],"trackers":[142],"Object":[144],"Tracking":[145],"Benchmark":[146],"covers":[148],"various":[149],"aspects":[151],"tracking.":[154]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
