{"id":"https://openalex.org/W3134579925","doi":"https://doi.org/10.1145/3448823.3448835","title":"Model-Based Interpolation for Continuous Human Silhouette Images by Height-Constraint Assumption","display_name":"Model-Based Interpolation for Continuous Human Silhouette Images by Height-Constraint Assumption","publication_year":2020,"publication_date":"2020-12-09","ids":{"openalex":"https://openalex.org/W3134579925","doi":"https://doi.org/10.1145/3448823.3448835","mag":"3134579925"},"language":"en","primary_location":{"id":"doi:10.1145/3448823.3448835","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448823.3448835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Vision, Image and Signal Processing","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/A5047144289","display_name":"Daisuke Imoto","orcid":"https://orcid.org/0000-0002-7419-5491"},"institutions":[{"id":"https://openalex.org/I76259142","display_name":"National Research Institute of Police Science","ror":"https://ror.org/03g9ek587","country_code":"JP","type":"government","lineage":["https://openalex.org/I76259142"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisuke Imoto","raw_affiliation_strings":["National Research Institute of Police Science, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Institute of Police Science, Japan","institution_ids":["https://openalex.org/I76259142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035569258","display_name":"Kenji Kurosawa","orcid":"https://orcid.org/0000-0002-6817-7748"},"institutions":[{"id":"https://openalex.org/I76259142","display_name":"National Research Institute of Police Science","ror":"https://ror.org/03g9ek587","country_code":"JP","type":"government","lineage":["https://openalex.org/I76259142"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Kurosawa","raw_affiliation_strings":["National Research Institute of Police Science, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Institute of Police Science, Japan","institution_ids":["https://openalex.org/I76259142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111754794","display_name":"Masakatsu Honma","orcid":null},"institutions":[{"id":"https://openalex.org/I76259142","display_name":"National Research Institute of Police Science","ror":"https://ror.org/03g9ek587","country_code":"JP","type":"government","lineage":["https://openalex.org/I76259142"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masakatsu Honma","raw_affiliation_strings":["National Research Institute of Police Science, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Institute of Police Science, Japan","institution_ids":["https://openalex.org/I76259142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086857886","display_name":"Ryo Yokota","orcid":"https://orcid.org/0000-0002-2089-1707"},"institutions":[{"id":"https://openalex.org/I76259142","display_name":"National Research Institute of Police Science","ror":"https://ror.org/03g9ek587","country_code":"JP","type":"government","lineage":["https://openalex.org/I76259142"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Yokota","raw_affiliation_strings":["National Research Institute of Police Science, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Institute of Police Science, Japan","institution_ids":["https://openalex.org/I76259142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048044334","display_name":"Manato Hirabayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I76259142","display_name":"National Research Institute of Police Science","ror":"https://ror.org/03g9ek587","country_code":"JP","type":"government","lineage":["https://openalex.org/I76259142"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Manato Hirabayashi","raw_affiliation_strings":["National Research Institute of Police Science, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Institute of Police Science, Japan","institution_ids":["https://openalex.org/I76259142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031057187","display_name":"Yoshinori Hawai","orcid":null},"institutions":[{"id":"https://openalex.org/I76259142","display_name":"National Research Institute of Police Science","ror":"https://ror.org/03g9ek587","country_code":"JP","type":"government","lineage":["https://openalex.org/I76259142"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshinori Hawai","raw_affiliation_strings":["National Research Institute of Police Science, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Institute of Police Science, Japan","institution_ids":["https://openalex.org/I76259142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1743,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48992983,"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":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9951000213623047,"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/silhouette","display_name":"Silhouette","score":0.839108943939209},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6974841356277466},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6862906217575073},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.685697078704834},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6631625294685364},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.6347188949584961},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5978076457977295},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.583644449710846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5494392514228821},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5377843976020813},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5034894347190857},{"id":"https://openalex.org/keywords/human-body-model","display_name":"Human-body model","score":0.49869322776794434},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3497157692909241},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2343626618385315},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.15363013744354248},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11100277304649353}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.839108943939209},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6974841356277466},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6862906217575073},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.685697078704834},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6631625294685364},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.6347188949584961},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5978076457977295},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.583644449710846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5494392514228821},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5377843976020813},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5034894347190857},{"id":"https://openalex.org/C2781089380","wikidata":"https://www.wikidata.org/wiki/Q5936753","display_name":"Human-body model","level":2,"score":0.49869322776794434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3497157692909241},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2343626618385315},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.15363013744354248},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11100277304649353},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3448823.3448835","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448823.3448835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Vision, Image and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4880342174","display_name":null,"funder_award_id":"KAKENHI JP17K18379, KAKENHI JP20K19835","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1561782558","https://openalex.org/W1903029394","https://openalex.org/W1980941928","https://openalex.org/W2013796631","https://openalex.org/W2028670352","https://openalex.org/W2040270931","https://openalex.org/W2044399959","https://openalex.org/W2050424943","https://openalex.org/W2052964714","https://openalex.org/W2085058513","https://openalex.org/W2092122022","https://openalex.org/W2109138194","https://openalex.org/W2126680226","https://openalex.org/W2134237713","https://openalex.org/W2142540472","https://openalex.org/W2145513318","https://openalex.org/W2167922717","https://openalex.org/W2268530150","https://openalex.org/W2519253192","https://openalex.org/W2561675875","https://openalex.org/W2739325416","https://openalex.org/W2770233088","https://openalex.org/W2788751553","https://openalex.org/W2911042172","https://openalex.org/W2915292867","https://openalex.org/W2935971621","https://openalex.org/W2963301258","https://openalex.org/W2963557121","https://openalex.org/W2963789946","https://openalex.org/W2990744528","https://openalex.org/W4238961103"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2807943795","https://openalex.org/W115948432","https://openalex.org/W2113253955"],"abstract_inverted_index":{"Boundary":[0],"information":[1,85,108],"is":[2,19,46,101,194,216,223,262,291],"crucial":[3],"for":[4,22,96,105,114,301],"defining":[5],"the":[6,41,63,66,70,74,80,87,135,140,143,152,160,169,186,191,205,220,233,237,250,255,268,294],"shape":[7],"of":[8,43,65,73,82,86,89,142,162,164,182,190,201,208,257,267,275],"an":[9,107],"object":[10],"or":[11],"a":[12,15,111,128],"person":[13],"as":[14,29,307],"first":[16],"approximation,":[17],"and":[18,35,167,280,311],"used":[20],"extensively":[21],"quantitative":[23],"analysis":[24,42,71,117],"in":[25,48,138,204,254,303],"various":[26],"fields":[27],"such":[28,106,306],"fluids,":[30],"cell":[31],"biology,":[32],"medical":[33],"images,":[34],"human":[36,44,68,99,115,278],"video":[37,116,313],"analysis.":[38,314],"In":[39,159],"particular,":[40],"silhouettes":[45,100],"vital":[47],"numerous":[49],"applications.":[50],"However,":[51],"when":[52],"videos":[53,76,163],"are":[54,60,146],"captured":[55],"at":[56,226,230],"frame":[57,174,212,287],"rates":[58],"that":[59,181,247,265,293],"lower":[61],"than":[62,180,199,229,246],"speeds":[64],"target":[67],"movements,":[69],"accuracy":[72,179,274],"corresponding":[75],"decreases":[77],"owing":[78],"to":[79,103,148,272],"lack":[81],"in-between":[83,98],"boundary":[84],"pair":[88],"successive":[90],"boundaries.":[91],"A":[92],"reliable":[93],"boundary-tracking":[94,131],"technique":[95],"interpolating":[97],"necessary":[102],"compensate":[104],"loss;":[109],"however,":[110],"suitable":[112],"method":[113,132,171,193,235,270,296],"has":[118],"not":[119],"yet":[120],"been":[121],"developed.":[122],"To":[123],"this":[124],"end,":[125],"we":[126],"propose":[127],"novel":[129],"model-based":[130],"based":[133],"on":[134],"height-constraint":[136,221,251],"assumption,":[137,252],"which":[139],"positions":[141],"body":[144],"points":[145],"assumed":[147],"change":[149],"insignificantly":[150],"along":[151],"height":[153],"(or":[154],"vertical)":[155],"direction":[156],"during":[157],"walking.":[158],"case":[161,207,256],"humans":[165],"walking":[166,206],"jogging,":[168],"proposed":[170,192,234,269,295],"can":[172,241],"perform":[173,242],"interpolation":[175,245],"with":[176,236,248],"substantially":[177],"higher":[178],"existing":[183,202],"methods:":[184],"e.g.":[185],"normalized":[187],"square":[188],"error":[189],"about":[195],"1.4~1.9":[196],"fold":[197],"smaller":[198],"those":[200],"methods":[203],"7.5":[209],"fps":[210],"input":[211],"rate.":[213],"Moreover,":[214],"it":[215,261],"confirmed":[217],"that,":[218],"although":[219],"assumption":[222],"less":[224],"effective":[225,300],"diagonal-view":[227,258],"angles":[228],"lateral-view":[231],"angles,":[232],"additional":[238],"projective":[239],"transform":[240],"more":[243],"accurate":[244],"only":[249],"even":[253],"angles.":[259],"Furthermore,":[260],"preliminarily":[263],"revealed":[264],"preprocessing":[266],"leads":[271],"improved":[273],"forensic":[276],"gait-based":[277],"identification":[279],"visual":[281],"hull-based":[282],"3D":[283],"reconstruction":[284],"under":[285],"low":[286],"rate":[288],"conditions.":[289],"It":[290],"expected":[292],"will":[297],"also":[298],"be":[299],"application":[302],"other":[304],"fields,":[305],"action":[308],"recognition,":[309],"kinesiology,":[310],"sports":[312]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}