{"id":"https://openalex.org/W2122854906","doi":"https://doi.org/10.1109/iccv.2007.4409179","title":"Robust Modelling and Tracking of NonRigid Objects Using Active-GNG","display_name":"Robust Modelling and Tracking of NonRigid Objects Using Active-GNG","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2122854906","doi":"https://doi.org/10.1109/iccv.2007.4409179","mag":"2122854906"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2007.4409179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","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/A5086573631","display_name":"Anastassia Angelopoulou","orcid":"https://orcid.org/0000-0003-1453-492X"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Anastassia Angelopoulou","raw_affiliation_strings":["Harrow School of Computer Science, University of Westminster, Harrow, UK","Univ. of Westminster, Harrow"],"affiliations":[{"raw_affiliation_string":"Harrow School of Computer Science, University of Westminster, Harrow, UK","institution_ids":["https://openalex.org/I94951947"]},{"raw_affiliation_string":"Univ. of Westminster, Harrow","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063682950","display_name":"\u0391\u03bb\u03b5\u03be\u03ac\u03bd\u03b4\u03c1\u03b1 \u03a8\u03b1\u03c1\u03c1\u03bf\u03cd","orcid":"https://orcid.org/0000-0003-3167-3454"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alexandra Psarrou","raw_affiliation_strings":["Harrow School of Computer Science, University of Westminster, Harrow, UK","Univ. of Westminster, Harrow"],"affiliations":[{"raw_affiliation_string":"Harrow School of Computer Science, University of Westminster, Harrow, UK","institution_ids":["https://openalex.org/I94951947"]},{"raw_affiliation_string":"Univ. of Westminster, Harrow","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081778658","display_name":"Gaurav Gupta","orcid":"https://orcid.org/0000-0001-7763-3090"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gaurav Gupta","raw_affiliation_strings":["Harrow School of Computer Science, University of Westminster, Harrow, UK","Univ. of Westminster, Harrow"],"affiliations":[{"raw_affiliation_string":"Harrow School of Computer Science, University of Westminster, Harrow, UK","institution_ids":["https://openalex.org/I94951947"]},{"raw_affiliation_string":"Univ. of Westminster, Harrow","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5098171443","display_name":"Jose Garc\ufffda Rodr\ufffdguez","orcid":null},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Garc\ufffda Rodr\ufffdguez","raw_affiliation_strings":["Department of Computer Technology and Computation, University of Alicante, Alicante, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Technology and Computation, University of Alicante, Alicante, Spain","institution_ids":["https://openalex.org/I130194489"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086573631"],"corresponding_institution_ids":["https://openalex.org/I94951947"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.14972181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"5","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9937999844551086,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9937999844551086,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9884999990463257,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9879000186920166,"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/neural-gas","display_name":"Neural gas","score":0.7365543842315674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6899800300598145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6617804765701294},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6088659763336182},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5428081154823303},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5411651730537415},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.48931071162223816},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.47158968448638916},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4592776894569397},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45012688636779785},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.44992929697036743},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44703662395477295},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.413852334022522},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3689797520637512},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.22240561246871948},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.21386244893074036}],"concepts":[{"id":"https://openalex.org/C90322556","wikidata":"https://www.wikidata.org/wiki/Q1981169","display_name":"Neural gas","level":4,"score":0.7365543842315674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6899800300598145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6617804765701294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6088659763336182},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5428081154823303},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5411651730537415},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.48931071162223816},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.47158968448638916},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4592776894569397},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45012688636779785},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.44992929697036743},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44703662395477295},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.413852334022522},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3689797520637512},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.22240561246871948},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.21386244893074036},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv.2007.4409179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:westminsterresearch.westminster.ac.uk:91w52","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ICCV.2007.4409179","pdf_url":null,"source":{"id":"https://openalex.org/S4306400277","display_name":"WestminsterResearch (University of Westminster)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I94951947","host_organization_name":"University of Westminster","host_organization_lineage":["https://openalex.org/I94951947"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"book-chapter"},{"id":"pmh:oai:westminsterresearch.wmin.ac.uk:5657","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400277","display_name":"WestminsterResearch (University of Westminster)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I94951947","host_organization_name":"University of Westminster","host_organization_lineage":["https://openalex.org/I94951947"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Book Section"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7799999713897705,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1498847074","https://openalex.org/W1555017801","https://openalex.org/W1970993238","https://openalex.org/W1985597060","https://openalex.org/W2038952578","https://openalex.org/W2047870719","https://openalex.org/W2057175746","https://openalex.org/W2099530880","https://openalex.org/W2104095591","https://openalex.org/W2106308174","https://openalex.org/W2120250216","https://openalex.org/W2138754805","https://openalex.org/W2144004768","https://openalex.org/W2152974907","https://openalex.org/W2176731252","https://openalex.org/W4285719527","https://openalex.org/W6646636071","https://openalex.org/W6675770446","https://openalex.org/W6680294583"],"related_works":["https://openalex.org/W2115886240","https://openalex.org/W2786750592","https://openalex.org/W1990273919","https://openalex.org/W1516772332","https://openalex.org/W2000662299","https://openalex.org/W2474435466","https://openalex.org/W4250505146","https://openalex.org/W2053704196","https://openalex.org/W2368765189","https://openalex.org/W2548883535"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,89,105],"robust":[4],"approach":[5,34],"to":[6,30],"nonrigid":[7],"modelling":[8,112],"and":[9,58,66,100,113],"tracking.":[10],"The":[11,33],"contour":[12],"of":[13,41,55,76,85,115,129],"the":[14,28,39,42,50,56,59,63,74,77,83,86,96,102,110,127,134],"object":[15],"is":[16,35,73,80],"described":[17,45],"by":[18,46],"an":[19],"active":[20],"growing":[21,136],"neural":[22,137],"gas":[23,138],"(A-GNG)":[24],"network":[25,43],"which":[26,79,94],"allows":[27],"model":[29],"re-deform":[31],"locally.":[32],"novel":[36],"in":[37],"that":[38],"nodes":[40,78],"are":[44],"their":[47],"geometrical":[48],"position,":[49],"underlying":[51],"local":[52],"feature":[53],"structure":[54],"image,":[57],"distance":[60],"vector":[61],"between":[62],"modal":[64],"image":[65],"any":[67,119],"successive":[68],"images.":[69],"A":[70],"second":[71],"contribution":[72],"correspondence":[75],"measured":[81],"through":[82],"calculation":[84],"topographic":[87],"product,":[88],"topology":[90],"preserving":[91],"objective":[92],"function":[93],"quantifies":[95],"neighbourhood":[97],"preservation":[98],"before":[99],"after":[101],"mapping.":[103],"As":[104],"result,":[106],"we":[107],"can":[108],"achieve":[109],"automatic":[111],"tracking":[114],"objects":[116],"without":[117],"using":[118],"annotated":[120],"training":[121],"sets.":[122],"Experimental":[123],"results":[124],"have":[125],"shown":[126],"superiority":[128],"our":[130],"proposed":[131],"method":[132],"over":[133],"original":[135],"(GNG)":[139],"network.":[140]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}