{"id":"https://openalex.org/W1671201580","doi":"https://doi.org/10.1109/icinfa.2015.7279328","title":"A novel template matching algorithm based on the contextual semantic information","display_name":"A novel template matching algorithm based on the contextual semantic information","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1671201580","doi":"https://doi.org/10.1109/icinfa.2015.7279328","mag":"1671201580"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2015.7279328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2015.7279328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Information and Automation","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/A5101774515","display_name":"Shuoyan Liu","orcid":"https://orcid.org/0000-0001-6224-9934"},"institutions":[{"id":"https://openalex.org/I4210141966","display_name":"China Academy of Railway Sciences","ror":"https://ror.org/051wv2j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210141966"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuoyan Liu","raw_affiliation_strings":["Institute of Computer Technology Department, China Academy of Railway Sciences, Beijing, P.R. China","Institute of Computer Technology Department, China Academy of Railway Sciences, Beijing, 100081, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Technology Department, China Academy of Railway Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210141966"]},{"raw_affiliation_string":"Institute of Computer Technology Department, China Academy of Railway Sciences, Beijing, 100081, China","institution_ids":["https://openalex.org/I4210141966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061880171","display_name":"Kai Fang","orcid":"https://orcid.org/0000-0003-0419-1468"},"institutions":[{"id":"https://openalex.org/I4210141966","display_name":"China Academy of Railway Sciences","ror":"https://ror.org/051wv2j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210141966"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Fang","raw_affiliation_strings":["Institute of Computer Technology Department, China Academy of Railway Sciences, Beijing, P.R. China","Institute of Computer Technology Department, China Academy of Railway Sciences, Beijing, 100081, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Technology Department, China Academy of Railway Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210141966"]},{"raw_affiliation_string":"Institute of Computer Technology Department, China Academy of Railway Sciences, Beijing, 100081, China","institution_ids":["https://openalex.org/I4210141966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101444480","display_name":"Li Jiang","orcid":"https://orcid.org/0000-0003-2636-2635"},"institutions":[{"id":"https://openalex.org/I4210141966","display_name":"China Academy of Railway Sciences","ror":"https://ror.org/051wv2j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210141966"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Jiang","raw_affiliation_strings":["Institute of Computer Technology Department, China Academy of Railway Sciences, Beijing, P.R. China","Institute of Computer Technology Department, China Academy of Railway Sciences, Beijing, 100081, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Technology Department, China Academy of Railway Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210141966"]},{"raw_affiliation_string":"Institute of Computer Technology Department, China Academy of Railway Sciences, Beijing, 100081, China","institution_ids":["https://openalex.org/I4210141966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101774515"],"corresponding_institution_ids":["https://openalex.org/I4210141966"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.558256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"437","last_page":"441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.7416301369667053},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6819586753845215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6542616486549377},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.6084082126617432},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6041234135627747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.601377546787262},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5839625597000122},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5458548069000244},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.541759729385376},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4834178686141968},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.45324671268463135},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4451712369918823},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.41409388184547424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14738717675209045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7416301369667053},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6819586753845215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6542616486549377},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.6084082126617432},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6041234135627747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.601377546787262},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5839625597000122},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5458548069000244},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.541759729385376},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4834178686141968},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.45324671268463135},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4451712369918823},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.41409388184547424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14738717675209045},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2015.7279328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2015.7279328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Information and Automation","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":13,"referenced_works":["https://openalex.org/W1554544485","https://openalex.org/W1968677218","https://openalex.org/W2045652019","https://openalex.org/W2062730569","https://openalex.org/W2101623247","https://openalex.org/W2106848651","https://openalex.org/W2120969424","https://openalex.org/W2123923666","https://openalex.org/W2130276169","https://openalex.org/W2139540805","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2474549708"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W4200090190","https://openalex.org/W2807251790","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2802511870","https://openalex.org/W2176214140","https://openalex.org/W2516873349","https://openalex.org/W1990601549","https://openalex.org/W2372581239"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,130],"novel":[4],"template":[5,41,66,76,137,156],"matching":[6,42,67,157],"algorithm":[7,43],"that":[8],"copes":[9],"with":[10,32,135],"the":[11,14,19,25,40,46,50,60,65,75,88,99,107,112,116,126,136,146],"occlusion":[12,26,153],"on":[13,49],"target":[15,131],"image.":[16],"Most":[17],"of":[18,129],"previous":[20,155],"methods":[21],"are":[22,95,133],"sensitive":[23],"to":[24,86,97,114,152],"because":[27],"it":[28],"induces":[29],"some":[30],"patches":[31,94],"similar":[33],"semantic":[34,62,101,122],"concepts":[35],"but":[36],"distinct":[37],"appearances.":[38],"Thus":[39],"hardly":[44],"accomplishes":[45],"task":[47],"based":[48],"appearance":[51,89,118],"similarity":[52,90,119],"only.":[53],"To":[54,69],"overcome":[55],"this":[56,70],"limitation,":[57],"we":[58,72,105],"integrate":[59],"contextual":[61,100,121],"information":[63,123],"into":[64,78],"algorithm.":[68],"end,":[71],"first":[73],"segment":[74],"image":[77,132,138],"9":[79],"patches.":[80],"The":[81,142],"center":[82],"patch":[83],"is":[84,149],"used":[85],"compute":[87],"and":[91,120],"its":[92],"neighborhood":[93],"adopted":[96],"construct":[98],"constraint.":[102],"And":[103],"then":[104],"obtain":[106],"integrated":[108,140],"distance":[109],"by":[110],"introducing":[111],"pseudo-likelihood":[113],"combine":[115],"feature":[117],"together.":[124],"Finally,":[125],"arbitrary":[127],"regions":[128],"matched":[134],"via":[139],"distance.":[141],"experimental":[143],"results":[144],"demonstrate":[145],"proposed":[147],"method":[148],"more":[150],"robust":[151],"than":[154],"techniques.":[158]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
