{"id":"https://openalex.org/W1996071808","doi":"https://doi.org/10.1109/vecims.2012.6273194","title":"The DESO filter based on the template matching alogrithm","display_name":"The DESO filter based on the template matching alogrithm","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1996071808","doi":"https://doi.org/10.1109/vecims.2012.6273194","mag":"1996071808"},"language":"en","primary_location":{"id":"doi:10.1109/vecims.2012.6273194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vecims.2012.6273194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS) Proceedings","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/A5052518205","display_name":"Qijie Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qijie Li","raw_affiliation_strings":["The Academy of Armored Forces Engineering 100072, China"],"affiliations":[{"raw_affiliation_string":"The Academy of Armored Forces Engineering 100072, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113537181","display_name":"Tianqing Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tianqing Chang","raw_affiliation_strings":["Academy of Armed Forces Engineering FengTai, China","The Academy of Armored Forces Engineering 100072, China"],"affiliations":[{"raw_affiliation_string":"Academy of Armed Forces Engineering FengTai, China","institution_ids":[]},{"raw_affiliation_string":"The Academy of Armored Forces Engineering 100072, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076227030","display_name":"Xuejun Jiao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163738","display_name":"China Astronaut Research and Training Center","ror":"https://ror.org/001ycj259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210163738"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejun Jiao","raw_affiliation_strings":["China Astronaut Research and Training Centre, National Laboratory of Human Factor Engineering, Beijing, China","China Astronaut Research and Training Centre, National Laboratory of Human Factor Engineering, Beijing 100193, China"],"affiliations":[{"raw_affiliation_string":"China Astronaut Research and Training Centre, National Laboratory of Human Factor Engineering, Beijing, China","institution_ids":["https://openalex.org/I4210163738"]},{"raw_affiliation_string":"China Astronaut Research and Training Centre, National Laboratory of Human Factor Engineering, Beijing 100193, China","institution_ids":["https://openalex.org/I4210163738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052518205"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07430228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"200","last_page":"202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9980000257492065,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9980000257492065,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T13579","display_name":"Image and Video Stabilization","score":0.9968000054359436,"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/position","display_name":"Position (finance)","score":0.6484341621398926},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.605873703956604},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.604063868522644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5969706177711487},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5899789333343506},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.572507381439209},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5477398037910461},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5313556790351868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5297994017601013},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.512925386428833},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49726536870002747},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47866663336753845},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.47169163823127747},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32060086727142334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20535096526145935}],"concepts":[{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6484341621398926},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.605873703956604},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.604063868522644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5969706177711487},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5899789333343506},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.572507381439209},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5477398037910461},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5313556790351868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5297994017601013},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.512925386428833},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49726536870002747},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47866663336753845},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.47169163823127747},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32060086727142334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20535096526145935},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vecims.2012.6273194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vecims.2012.6273194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS) Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1519730663","https://openalex.org/W1991815060","https://openalex.org/W2003994100","https://openalex.org/W2066385702","https://openalex.org/W2072028093","https://openalex.org/W2092977159","https://openalex.org/W2098449075","https://openalex.org/W2110610768","https://openalex.org/W2123182584","https://openalex.org/W2129792427","https://openalex.org/W2162451935","https://openalex.org/W2172156083","https://openalex.org/W2373496927","https://openalex.org/W6709055784"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W4248382324","https://openalex.org/W3131574667","https://openalex.org/W4360995134","https://openalex.org/W3023605104","https://openalex.org/W2039473718","https://openalex.org/W2387529410","https://openalex.org/W2802511870","https://openalex.org/W2372581239"],"abstract_inverted_index":{"A":[0],"novel":[1],"approved":[2],"algorithm":[3,11,51,66,71,119],"based":[4,114],"on":[5,115,132],"template":[6,49,78,117],"matching":[7,50,79,118],"is":[8,12,34,52,141,146,152],"proposed.":[9],"This":[10],"used":[13,53],"to":[14,36,54],"predict":[15,122],"the":[16,19,23,27,38,42,45,58,65,85,91,101,116,123,126,133,143,149],"movement":[17],"of":[18,41,64,87,100,103,125,139],"target":[20,43,56,134],"and":[21,128,148],"track":[22],"target.":[24],"By":[25],"utilizing":[26],"DESO(Differential":[28],"Extended":[29],"State":[30],"Observer)":[31],"filter,":[32],"it":[33,94],"possible":[35],"obtain":[37],"estimate":[39],"position":[40],"in":[44],"current":[46],"image.":[47],"The":[48,61,69,137],"search":[55],"around":[57],"estimation":[59],"position.":[60],"simulation":[62,92],"results":[63,82],"are":[67],"presented.":[68],"proposed":[70],"demonstrates":[72],"better":[73],"performance":[74,151],"characteristics":[75],"than":[76],"traditional":[77],"algorithm.":[80],"Experimental":[81],"also":[83],"demonstrate":[84],"effectiveness":[86],"this":[88],"method.":[89],"Through":[90],"experiment,":[93],"can":[95,120],"be":[96],"seen":[97],"that":[98],"regardless":[99],"goal":[102],"uniform":[104],"motion":[105,107,112,135],"or":[106],"with":[108],"variable":[109],"velocity,":[110],"DESO":[111,140],"prediction":[113],"accurately":[121],"trajectory":[124],"target,":[127],"does":[129],"not":[130],"depend":[131],"model.":[136],"use":[138],"simple,":[142],"transition":[144],"time":[145],"short":[147],"tracking":[150],"satisfying.":[153]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}