{"id":"https://openalex.org/W2405824942","doi":"https://doi.org/10.5220/0004786705360543","title":"A Dynamic Hybrid Local-spatial Interest Point Matching Algorithm for Articulated Human Body Tracking","display_name":"A Dynamic Hybrid Local-spatial Interest Point Matching Algorithm for Articulated Human Body Tracking","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2405824942","doi":"https://doi.org/10.5220/0004786705360543","mag":"2405824942"},"language":"en","primary_location":{"id":"doi:10.5220/0004786705360543","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004786705360543","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0004786705360543","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028612020","display_name":"Alireza Dehghani","orcid":"https://orcid.org/0000-0002-6313-0262"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alireza Dehghani","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5106821305","display_name":"Alistair Sutherland","orcid":"https://orcid.org/0000-0001-7198-8931"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alistair Sutherland","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9255,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81212445,"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":"536","last_page":"543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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":0.9973999857902527,"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/matching","display_name":"Matching (statistics)","score":0.7122601270675659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6693903207778931},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5686969757080078},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.5375522971153259},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.47389379143714905},{"id":"https://openalex.org/keywords/3-dimensional-matching","display_name":"3-dimensional matching","score":0.41606035828590393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3803999125957489},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.35995081067085266},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3481835722923279},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22520655393600464}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7122601270675659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6693903207778931},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5686969757080078},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.5375522971153259},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.47389379143714905},{"id":"https://openalex.org/C72545166","wikidata":"https://www.wikidata.org/wiki/Q10866593","display_name":"3-dimensional matching","level":4,"score":0.41606035828590393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3803999125957489},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.35995081067085266},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3481835722923279},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22520655393600464},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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:10.5220/0004786705360543","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004786705360543","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0004786705360543","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004786705360543","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W207774164","https://openalex.org/W1580822627","https://openalex.org/W1995921081","https://openalex.org/W2003830783","https://openalex.org/W2021202955","https://openalex.org/W2038735287","https://openalex.org/W2076321176","https://openalex.org/W2085261163","https://openalex.org/W2098190380","https://openalex.org/W2100727593","https://openalex.org/W2116801532","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2137089267","https://openalex.org/W2154107515","https://openalex.org/W2158807362","https://openalex.org/W2177274842","https://openalex.org/W3001929610","https://openalex.org/W3145128584"],"related_works":["https://openalex.org/W1592682627","https://openalex.org/W4295762832","https://openalex.org/W2371352078","https://openalex.org/W2366714142","https://openalex.org/W2362975861","https://openalex.org/W2358102224","https://openalex.org/W2040300855","https://openalex.org/W2359134215","https://openalex.org/W2290243676","https://openalex.org/W3133897873"],"abstract_inverted_index":{"Current":[0],"interest-point":[1],"tracking":[2],"algorithms":[3,190],"are":[4],"either":[5],"local-based":[6,28,132,160,187],"or":[7],"spatial-based.":[8,55],"We":[9],"propose":[10],"a":[11,44,124],"hybrid":[12],"local-spatial":[13,176],"interest":[14],"point":[15],"(IP)":[16],"matching":[17,46,75,134,152,161,178,182,189],"algorithm":[18,53,129,153,179],"for":[19,82,156],"articulated":[20],"human":[21],"body":[22],"tracking.":[23],"The":[24,48,127],"first":[25],"stage":[26,50,162],"is":[27,54,114],"and":[29,40,63,76,101,110,142,148,191],"finds":[30],"matched":[31,61,66],"pairs":[32,67],"of":[33,38,51,85,94,104,120,140,145,159,195],"IPs":[34,42,72,96,122],"from":[35,68],"two":[36],"lists":[37],"reference":[39,95,121],"target":[41],"through":[43,73],"local-feature-descriptors-based":[45],"method.":[47],"second":[49],"the":[52,59,69,83,92,98,118,138,157,173,181,193],"It":[56],"starts":[57],"with":[58,186],"confidently":[60],"pairs,":[62],"recovers":[64],"more":[65],"remaining":[70],"unmatched":[71],"graph":[74],"cyclic":[77],"string":[78],"matching.":[79],"To":[80],"compensate":[81,155],"problem":[84,194],"Reference":[86],"List":[87,108],"Leakage":[88],"(RLL),":[89],"which":[90],"decreases":[91],"number":[93,119],"throughout":[97],"frame":[99],"sequence":[100],"causes":[102],"failure":[103],"tracking,":[105],"an":[106],"IP":[107,133,151,177,188],"Scoring":[109],"Refinement":[111],"(LSR)":[112],"strategy":[113],"proposed":[115,128,174],"to":[116,136,154],"maintain":[117],"around":[123],"specific":[125],"level.":[126],"benefits":[130],"from:":[131],"firstly":[135],"avoid":[137],"expense":[139],"distance":[141],"neighborhood":[143],"comparison":[144,185],"spatial-based":[146,150],"methods;":[147],"then":[149],"drawback":[158],"when":[163],"it":[164],"fails":[165],"in":[166,184],"ambiguous":[167],"situations.":[168],"Experimental":[169],"results":[170],"show":[171],"that":[172],"combined":[175],"improves":[180],"process":[183],"tackles":[192],"RLL.":[196]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}
