{"id":"https://openalex.org/W4221008401","doi":"https://doi.org/10.1109/kst53302.2022.9729070","title":"A Novel Relational Deep Network for Single Object Tracking","display_name":"A Novel Relational Deep Network for Single Object Tracking","publication_year":2022,"publication_date":"2022-01-26","ids":{"openalex":"https://openalex.org/W4221008401","doi":"https://doi.org/10.1109/kst53302.2022.9729070"},"language":"en","primary_location":{"id":"doi:10.1109/kst53302.2022.9729070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst53302.2022.9729070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Knowledge and Smart Technology (KST)","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/A5014884429","display_name":"Pimpa Cheewaprakobkit","orcid":"https://orcid.org/0000-0002-7888-2053"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Pimpa Cheewaprakobkit","raw_affiliation_strings":["National Central University,Department of Computer Science and Information Engineering,Taoyuan,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central University,Department of Computer Science and Information Engineering,Taoyuan,Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081089928","display_name":"Timothy K. Shih","orcid":"https://orcid.org/0000-0003-4154-4752"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Timothy K. Shih","raw_affiliation_strings":["National Central University,Department of Computer Science and Information Engineering,Taoyuan,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central University,Department of Computer Science and Information Engineering,Taoyuan,Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087964642","display_name":"Chih\u2010Yang Lin","orcid":"https://orcid.org/0000-0002-0401-8473"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Yang Lin","raw_affiliation_strings":["Yuan-Ze University,Department of Electrical Engineering,Taoyuan,Taiwan"],"affiliations":[{"raw_affiliation_string":"Yuan-Ze University,Department of Electrical Engineering,Taoyuan,Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064198164","display_name":"Hung\u2010Chun Liao","orcid":"https://orcid.org/0000-0002-1211-0691"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hung-Chun Liao","raw_affiliation_strings":["National Central University,Department of Computer Science and Information Engineering,Taoyuan,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central University,Department of Computer Science and Information Engineering,Taoyuan,Taiwan","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014884429"],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":0.2013,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.44622524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"102","last_page":"107"},"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":0.9887999892234802,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9804999828338623,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8226040601730347},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8122584223747253},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7476205825805664},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7017477750778198},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6932582259178162},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6183245182037354},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5249454975128174},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44955193996429443},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4481005370616913},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36166632175445557}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8226040601730347},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8122584223747253},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7476205825805664},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7017477750778198},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6932582259178162},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6183245182037354},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5249454975128174},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44955193996429443},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4481005370616913},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36166632175445557},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/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/kst53302.2022.9729070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst53302.2022.9729070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Knowledge and Smart Technology (KST)","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":32,"referenced_works":["https://openalex.org/W1517850131","https://openalex.org/W1536680647","https://openalex.org/W1857884451","https://openalex.org/W2002310031","https://openalex.org/W2134905085","https://openalex.org/W2158592639","https://openalex.org/W2520477759","https://openalex.org/W2557641257","https://openalex.org/W2597933512","https://openalex.org/W2605381261","https://openalex.org/W2792133926","https://openalex.org/W2797812763","https://openalex.org/W2799058067","https://openalex.org/W2911160819","https://openalex.org/W2913523297","https://openalex.org/W2953507343","https://openalex.org/W2962824803","https://openalex.org/W2963030525","https://openalex.org/W2963471260","https://openalex.org/W2964080601","https://openalex.org/W2964253307","https://openalex.org/W2979152723","https://openalex.org/W2991468593","https://openalex.org/W2998027361","https://openalex.org/W3087704940","https://openalex.org/W3108519869","https://openalex.org/W3118779689","https://openalex.org/W3151599417","https://openalex.org/W3207213897","https://openalex.org/W6630840828","https://openalex.org/W6768946409","https://openalex.org/W6793935331"],"related_works":["https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3210378990","https://openalex.org/W3034745255","https://openalex.org/W4254103348","https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W2091015105"],"abstract_inverted_index":{"Virtual":[0],"object":[1,20,38,62,69,86,89,148,180],"tracking":[2,39,70,149],"is":[3],"an":[4,61,184,193],"active":[5],"research":[6],"area":[7],"in":[8,21,101],"computer":[9],"vision.":[10],"It":[11],"aims":[12,55],"to":[13,40,56,79,109,113,132,169],"estimate":[14],"the":[15,18,25,29,58,81,84,102,111,116,119,124,129,134,143,151,155,162,171],"location":[16],"of":[17,48,60,93,186,190,199],"target":[19,85],"video":[22],"frames.":[23],"For":[24],"past":[26],"few":[27],"years,":[28],"deep":[30],"learning":[31],"method":[32],"has":[33],"been":[34],"widely":[35],"used":[36,142],"for":[37,146,154],"improve":[41,110],"accuracy.":[42,52],"However,":[43],"there":[44],"are":[45],"still":[46],"challenges":[47],"performance":[49,59,168],"problems":[50,100],"and":[51,75,87,118,127,138,150,175,192],"This":[53],"study":[54],"enhance":[57],"detection":[63],"model":[64,112,164],"by":[65,105],"focusing":[66],"on":[67,208],"single":[68],"using":[71],"Siamese":[72,103],"network":[73,104],"architecture":[74],"a":[76,91,188],"correlation":[77],"filter":[78],"find":[80,133],"relationship":[82,135],"between":[83,115,136],"search":[88],"from":[90,179],"series":[92],"continuous":[94],"images.":[95],"We":[96,182],"mitigate":[97],"some":[98],"challenging":[99],"adding":[106],"variance":[107],"loss":[108],"distinguish":[114],"foreground":[117],"background.":[120],"Furthermore,":[121],"we":[122],"add":[123],"attention":[125],"mechanism":[126],"process":[128],"cropped":[130],"image":[131,172],"objects":[137],"objects.":[139],"Our":[140,201],"experiment":[141],"VOT2019":[144],"dataset":[145,153],"testing":[147],"CUHK03":[152],"training":[156],"model.":[157],"The":[158],"result":[159],"demonstrates":[160],"that":[161],"proposed":[163],"achieves":[165],"promising":[166],"prediction":[167],"solve":[170],"occlusion":[173],"problem":[174],"reduce":[176],"false":[177],"alarms":[178],"detection.":[181],"achieved":[183],"accuracy":[185],"0.608,":[187],"robustness":[189],"0.539,":[191],"expected":[194],"average":[195],"overlap":[196],"(EAO)":[197],"score":[198],"0.217.":[200],"tracker":[202],"runs":[203],"at":[204],"approximately":[205],"26":[206],"fps":[207],"GPU.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}