{"id":"https://openalex.org/W4394898259","doi":"https://doi.org/10.1145/3650400.3650534","title":"A Lightweight Object Tracking Method Based on Transformer","display_name":"A Lightweight Object Tracking Method Based on Transformer","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4394898259","doi":"https://doi.org/10.1145/3650400.3650534"},"language":"en","primary_location":{"id":"doi:10.1145/3650400.3650534","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650400.3650534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering","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/A5064508460","display_name":"Ziwen Sun","orcid":"https://orcid.org/0009-0001-1714-8939"},"institutions":[{"id":"https://openalex.org/I4210115169","display_name":"Second Artillery General Hospital of Chinese People's Liberation Army","ror":"https://ror.org/0264qnp36","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwen Sun","raw_affiliation_strings":["High Overload Ammunition Guidance Control and Information Perception Laboratory of the Army Artillery Air Defense Academy,, China"],"raw_orcid":"https://orcid.org/0009-0001-1714-8939","affiliations":[{"raw_affiliation_string":"High Overload Ammunition Guidance Control and Information Perception Laboratory of the Army Artillery Air Defense Academy,, China","institution_ids":["https://openalex.org/I4210115169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043757151","display_name":"Chuandong Yang","orcid":"https://orcid.org/0000-0001-9083-9886"},"institutions":[{"id":"https://openalex.org/I4210115169","display_name":"Second Artillery General Hospital of Chinese People's Liberation Army","ror":"https://ror.org/0264qnp36","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuandong Yang","raw_affiliation_strings":["High Overload Ammunition Guidance Control and Information Perception Laboratory of the Army Artillery Air Defense Academy,, China"],"raw_orcid":"https://orcid.org/0000-0001-9083-9886","affiliations":[{"raw_affiliation_string":"High Overload Ammunition Guidance Control and Information Perception Laboratory of the Army Artillery Air Defense Academy,, China","institution_ids":["https://openalex.org/I4210115169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038757987","display_name":"Chong Ling","orcid":"https://orcid.org/0009-0001-6503-7715"},"institutions":[{"id":"https://openalex.org/I4210115169","display_name":"Second Artillery General Hospital of Chinese People's Liberation Army","ror":"https://ror.org/0264qnp36","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Ling","raw_affiliation_strings":["High Overload Ammunition Guidance Control and Information Perception Laboratory of the Army Artillery Air Defense Academy,, China"],"raw_orcid":"https://orcid.org/0009-0001-6503-7715","affiliations":[{"raw_affiliation_string":"High Overload Ammunition Guidance Control and Information Perception Laboratory of the Army Artillery Air Defense Academy,, China","institution_ids":["https://openalex.org/I4210115169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20938384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"796","last_page":"801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9890000224113464,"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":0.9890000224113464,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.951200008392334,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9440000057220459,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7319318056106567},{"id":"https://openalex.org/keywords/header","display_name":"Header","score":0.6723545789718628},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.645754337310791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6453076601028442},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5934488773345947},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5874499678611755},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5649094581604004},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4952670633792877},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4910116195678711},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.42358866333961487},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41695451736450195},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3930667042732239},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.20635294914245605},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.19180208444595337},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14170008897781372},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.11959466338157654}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7319318056106567},{"id":"https://openalex.org/C48105269","wikidata":"https://www.wikidata.org/wiki/Q1141160","display_name":"Header","level":2,"score":0.6723545789718628},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.645754337310791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6453076601028442},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5934488773345947},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5874499678611755},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5649094581604004},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4952670633792877},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4910116195678711},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.42358866333961487},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41695451736450195},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3930667042732239},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.20635294914245605},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.19180208444595337},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14170008897781372},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.11959466338157654},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3650400.3650534","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650400.3650534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2957927798","https://openalex.org/W2991044292","https://openalex.org/W6600753396"],"related_works":["https://openalex.org/W4327500857","https://openalex.org/W2965994363","https://openalex.org/W1689909837","https://openalex.org/W4311223090","https://openalex.org/W2318603563","https://openalex.org/W4205729548","https://openalex.org/W4298525700","https://openalex.org/W1895541646","https://openalex.org/W2953362004","https://openalex.org/W2901505109"],"abstract_inverted_index":{"Transformer":[0,65],"is":[1,25,66,73,196,219],"widely":[2],"used":[3,89],"in":[4,45,76,106],"the":[5,19,29,36,39,49,56,77,81,95,113,117,123,126,130,133,136,140,146,150,156,166,178,191,199,203,210,224,230,235,238],"field":[6],"of":[7,12,32,38,51,85,112,125,135,226,237],"object":[8,22,61,70,180],"tracking":[9,23,57,62,71,204,211,217,231,240],"by":[10,145,221],"virtue":[11],"its":[13],"powerful":[14],"global":[15],"modeling":[16],"capability,":[17],"but":[18],"existing":[20],"Transformer-based":[21,68],"method":[24,72],"slow":[26],"due":[27],"to":[28,47,53,90,108,176,186,189],"large":[30],"number":[31,50,225],"parameters,":[33],"which":[34,233],"limits":[35],"use":[37,111],"algorithm":[40,195],"on":[41,64,198],"mobile":[42],"smart":[43],"devices,":[44],"order":[46,107],"reduce":[48],"parameters":[52,227],"further":[54],"improve":[55],"speed,":[58],"a":[59,171,182],"lightweight":[60,69,239],"based":[63],"proposed.":[67,74],"First,":[75],"feature":[78,163],"extraction":[79],"part,":[80],"first":[82],"three":[83],"layers":[84],"Swin-Transformer":[86],"network":[87],"are":[88,120,143,153],"extract":[91],"deep":[92],"features":[93,119,131,152,168],"from":[94],"input":[96],"initial":[97,114,137],"template,":[98,100],"dynamic":[99,141,192],"and":[101,129,139,159,181,202,209],"search":[102],"area,":[103],"respectively.":[104],"Second,":[105],"make":[109],"full":[110],"template":[115,138,142],"information,":[116],"extracted":[118],"feature-enhanced":[121],"with":[122],"help":[124],"cross-attention":[127],"module,":[128],"after":[132],"enhancement":[134],"sparsified":[144],"sparsification":[147],"module.":[148],"Then,":[149],"fused":[151],"fed":[154],"into":[155],"simplified":[157],"encoder":[158],"decoder":[160],"modules":[161],"for":[162],"fusion.":[164],"Finally,":[165],"output":[167],"go":[169],"through":[170],"bounding":[172],"box":[173],"prediction":[174],"header":[175,185],"predict":[177],"tracked":[179],"quality":[183],"scoring":[184],"determine":[187],"whether":[188],"update":[190],"template.":[193],"The":[194,216],"experimented":[197],"LaSOT":[200],"dataset,":[201],"success":[205],"rate":[206],"reaches":[207,213],"70.8%":[208],"speed":[212,218],"78.7":[214],"FPS.":[215],"improved":[220],"significantly":[222],"reducing":[223],"while":[228],"guaranteeing":[229],"accuracy,":[232],"proves":[234],"effectiveness":[236],"method.":[241]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
