{"id":"https://openalex.org/W2753910306","doi":"https://doi.org/10.1109/jcsse.2017.8025916","title":"An Incremental Dynamic Time Warping for person re-identification","display_name":"An Incremental Dynamic Time Warping for person re-identification","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2753910306","doi":"https://doi.org/10.1109/jcsse.2017.8025916","mag":"2753910306"},"language":"en","primary_location":{"id":"doi:10.1109/jcsse.2017.8025916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse.2017.8025916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","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/A5071713074","display_name":"Wisrut Kwankhoom","orcid":null},"institutions":[{"id":"https://openalex.org/I66200439","display_name":"Naresuan University","ror":"https://ror.org/03e2qe334","country_code":"TH","type":"education","lineage":["https://openalex.org/I66200439"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Wisrut Kwankhoom","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Naresuan University, Phitsanulok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Naresuan University, Phitsanulok, Thailand","institution_ids":["https://openalex.org/I66200439"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112731852","display_name":"Paisarn Muneesawang","orcid":"https://orcid.org/0009-0001-4218-5176"},"institutions":[{"id":"https://openalex.org/I66200439","display_name":"Naresuan University","ror":"https://ror.org/03e2qe334","country_code":"TH","type":"education","lineage":["https://openalex.org/I66200439"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Paisarn Muneesawang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Naresuan University, Phitsanulok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Naresuan University, Phitsanulok, Thailand","institution_ids":["https://openalex.org/I66200439"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071713074"],"corresponding_institution_ids":["https://openalex.org/I66200439"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.12152981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"93","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10812","display_name":"Human Pose and Action Recognition","score":0.9991000294685364,"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":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.9357179403305054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7503066062927246},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.7436204552650452},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.6711792945861816},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6608473062515259},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.610887885093689},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.605433464050293},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5708916783332825},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5420113801956177},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.47558581829071045},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4718475341796875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3884522020816803},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3611680269241333}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.9357179403305054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7503066062927246},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7436204552650452},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.6711792945861816},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6608473062515259},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.610887885093689},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.605433464050293},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5708916783332825},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5420113801956177},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.47558581829071045},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4718475341796875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3884522020816803},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3611680269241333},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jcsse.2017.8025916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse.2017.8025916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323020","display_name":"Naresuan University","ror":"https://ror.org/03e2qe334"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W200708128","https://openalex.org/W618252706","https://openalex.org/W992872002","https://openalex.org/W1555806630","https://openalex.org/W1993813055","https://openalex.org/W2022171669","https://openalex.org/W2094900880","https://openalex.org/W2100539654","https://openalex.org/W2161786450","https://openalex.org/W6619429939"],"related_works":["https://openalex.org/W2347413598","https://openalex.org/W1918542373","https://openalex.org/W71572444","https://openalex.org/W1997383766","https://openalex.org/W2154472250","https://openalex.org/W2350336482","https://openalex.org/W2229352698","https://openalex.org/W2315394208","https://openalex.org/W72718568","https://openalex.org/W2318081358"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"principles":[3],"and":[4,66],"techniques":[5],"of":[6,46,53,86],"a":[7,22,44,51],"human":[8],"gesture":[9],"recognition":[10,91],"algorithm":[11],"for":[12,60],"person":[13],"identification":[14],"which":[15],"identifies":[16],"personal":[17],"gait":[18,47],"patterns":[19],"recorded":[20,39],"with":[21],"3D":[23],"depth":[24],"sensing":[25],"camera,":[26],"in":[27],"this":[28],"case":[29],"the":[30,76,84,94],"Microsoft":[31],"Kinect":[32],"<sup":[33],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[34],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u00ae</sup>":[35],"version":[36],"2.":[37],"The":[38],"images":[40],"are":[41],"analyzed":[42],"against":[43],"dataset":[45],"gestures":[48],"derived":[49],"from":[50],"sample":[52],"37":[54],"people.":[55],"We":[56],"compared":[57],"two":[58],"algorithms":[59],"analyzing":[61],"movement":[62],"trajectories;":[63],"Sparse":[64,95],"code":[65,96],"Incremental":[67],"Dynamic":[68],"Time":[69],"Warping":[70],"(IDTW).":[71],"Experimental":[72],"results":[73,92],"show":[74],"that":[75],"methods":[77],"have":[78],"an":[79],"encouraging":[80],"performance.":[81],"When":[82],"comparing":[83],"accuracy":[85],"algorithms,":[87],"IDTW":[88],"gave":[89],"better":[90],"than":[93],"method.":[97]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}