{"id":"https://openalex.org/W4381328112","doi":"https://doi.org/10.1117/12.2682442","title":"An improved target tracking learning detection algorithm","display_name":"An improved target tracking learning detection algorithm","publication_year":2023,"publication_date":"2023-06-20","ids":{"openalex":"https://openalex.org/W4381328112","doi":"https://doi.org/10.1117/12.2682442"},"language":"en","primary_location":{"id":"doi:10.1117/12.2682442","doi":"https://doi.org/10.1117/12.2682442","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2682442","pdf_url":null,"source":{"id":"https://openalex.org/S7407088874","display_name":"International Conference on Electronic Technology and Information Science (ICETIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5102223697","display_name":"Yang Gao","orcid":"https://orcid.org/0009-0007-1695-2320","observed_orcids":["https://orcid.org/0009-0007-1695-2320","https://orcid.org/0000-0002-2488-1813"]},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Gao","raw_affiliation_strings":["Beijing Institute of Graphic Communication (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Graphic Communication (China)","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075980011","display_name":"Changbo Xu","orcid":"https://orcid.org/0000-0001-8682-768X","observed_orcids":["https://orcid.org/0000-0001-8682-768X"]},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changbo Xu","raw_affiliation_strings":["Beijing Institute of Graphic Communication (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Graphic Communication (China)","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101573351","display_name":"Shaozhong Cao","orcid":"https://orcid.org/0000-0001-6949-1758","observed_orcids":["https://orcid.org/0000-0001-6949-1758"]},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaozhong Cao","raw_affiliation_strings":["Beijing Institute of Graphic Communication (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Graphic Communication (China)","institution_ids":["https://openalex.org/I4210135483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210135483"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"57","issue":null,"first_page":"70","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":9.999999747378752e-05,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":9.999999747378752e-05,"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/tracking-learning-detection","display_name":"Tracking-Learning-Detection","score":0.8989999890327454},{"id":"https://openalex.org/keywords/target-tracking","display_name":"target tracking","score":0.7229999899864197},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.8259999752044678},{"id":"https://openalex.org/keywords/surf-feature-matching","display_name":"SURF feature matching","score":0.9020000100135803},{"id":"https://openalex.org/keywords/clahe","display_name":"CLAHE","score":0.7910000085830688},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"histogram of oriented gradients","score":0.8840000033378601},{"id":"https://openalex.org/keywords/multi-scale-tracking","display_name":"multi-scale tracking","score":0.8180000185966492},{"id":"https://openalex.org/keywords/illumination-variation","display_name":"illumination variation","score":0.5}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6884906888008118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6587046384811401},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6011964678764343},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5402019619941711},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5122207999229431},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48920321464538574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48440247774124146},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4238969683647156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41628164052963257},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4142787456512451},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2682442","doi":"https://doi.org/10.1117/12.2682442","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2682442","pdf_url":null,"source":{"id":"https://openalex.org/S7407088874","display_name":"International Conference on Electronic Technology and Information Science (ICETIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2058333183","https://openalex.org/W2119605622","https://openalex.org/W2124211486","https://openalex.org/W2187250581","https://openalex.org/W2888496066","https://openalex.org/W2913602408","https://openalex.org/W2942992487","https://openalex.org/W2997150930","https://openalex.org/W4226512252","https://openalex.org/W4362597616","https://openalex.org/W4365799847"],"related_works":["https://openalex.org/W3174832295","https://openalex.org/W2922211168","https://openalex.org/W2583615537","https://openalex.org/W4243294395","https://openalex.org/W2355357225","https://openalex.org/W2735875891","https://openalex.org/W4310535610","https://openalex.org/W2786350556","https://openalex.org/W2997150930","https://openalex.org/W4394879216"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,48,52,63,78,89,98,104,110,118,124,127,135,141,160,164],"problem":[3],"that":[4,134],"Tracking":[5],"accuracy":[6],"of":[7,65,126,143],"Tracking-Learning-Detection":[8],"(TLD)":[9],"tracking":[10,29,49,156],"algorithm":[11,30,128,137,166],"decreases":[12],"when":[13],"targets":[14],"are":[15],"under":[16],"different":[17],"light":[18],"and":[19,22,51,88,121,147,154],"shade":[20],"conditions":[21],"target":[23],"scales":[24],"change,":[25],"an":[26],"improved":[27,165],"TLD":[28,162],"is":[31,86,94,113],"proposed.":[32],"In":[33,108],"this":[34],"paper,":[35],"Speeded":[36],"Up":[37],"Robust":[38],"Features":[39],"(SURF)":[40],"feature":[41,53,66,84,91],"point":[42,54,67],"matching":[43,92,101],"method":[44,93,102],"was":[45],"adopted":[46],"as":[47],"module,":[50,80],"pairs":[55],"with":[56,159],"low":[57],"confidence":[58],"were":[59],"removed":[60],"by":[61],"adding":[62],"evaluation":[64],"pairs.":[68],"By":[69],"introducing":[70],"Contrast":[71],"Limited":[72],"Adaptive":[73],"Histogram":[74],"Equalization":[75],"(CLAHE)":[76],"into":[77],"detection":[79,111],"a":[81],"random":[82],"Circle":[83],"classifier":[85],"proposed,":[87],"HOG":[90],"used":[95],"to":[96,129,151],"replace":[97],"normalized":[99],"correlation":[100],"in":[103],"nearest":[105],"neighbor":[106],"classifier.":[107],"addition,":[109],"range":[112],"adjusted":[114],"adaptively,":[115],"which":[116],"reduces":[117],"computational":[119],"complexity":[120],"effectively":[122,139],"improves":[123],"adaptability":[125],"multi-scale.":[130],"Experimental":[131],"results":[132],"show":[133],"proposed":[136],"can":[138],"overcome":[140],"influence":[142],"environmental":[144],"shading":[145],"conditions,":[146],"has":[148],"strong":[149],"robustness":[150],"scale":[152],"changes":[153],"high":[155],"accuracy.":[157],"Compared":[158],"classical":[161],"algorithm,":[163],"performs":[167],"better.":[168]},"counts_by_year":[],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2023-06-21T00:00:00"}
