{"id":"https://openalex.org/W2147106936","doi":"https://doi.org/10.1186/1687-5281-2013-45","title":"2D and 3D analysis of animal locomotion from biplanar X-ray videos using augmented active appearance models","display_name":"2D and 3D analysis of animal locomotion from biplanar X-ray videos using augmented active appearance models","publication_year":2013,"publication_date":"2013-08-12","ids":{"openalex":"https://openalex.org/W2147106936","doi":"https://doi.org/10.1186/1687-5281-2013-45","mag":"2147106936"},"language":"en","primary_location":{"id":"doi:10.1186/1687-5281-2013-45","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2013-45","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2013-45","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2013-45","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038110981","display_name":"Daniel Haase","orcid":"https://orcid.org/0000-0001-8950-1933"},"institutions":[{"id":"https://openalex.org/I76198965","display_name":"Friedrich Schiller University Jena","ror":"https://ror.org/05qpz1x62","country_code":"DE","type":"education","lineage":["https://openalex.org/I76198965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Daniel Haase","raw_affiliation_strings":["Computer Vision Group, Friedrich Schiller University of Jena, Ernst-Abbe-Platz 2-4, Jena, 07743, Germany","Comput. Vision Group, Friedrich Schiller Univ. of Jena, Jena, Germany"],"affiliations":[{"raw_affiliation_string":"Computer Vision Group, Friedrich Schiller University of Jena, Ernst-Abbe-Platz 2-4, Jena, 07743, Germany","institution_ids":["https://openalex.org/I76198965"]},{"raw_affiliation_string":"Comput. Vision Group, Friedrich Schiller Univ. of Jena, Jena, Germany","institution_ids":["https://openalex.org/I76198965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024934744","display_name":"Joachim Denzler","orcid":"https://orcid.org/0000-0002-3193-3300"},"institutions":[{"id":"https://openalex.org/I76198965","display_name":"Friedrich Schiller University Jena","ror":"https://ror.org/05qpz1x62","country_code":"DE","type":"education","lineage":["https://openalex.org/I76198965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Joachim Denzler","raw_affiliation_strings":["Computer Vision Group, Friedrich Schiller University of Jena, Ernst-Abbe-Platz 2-4, Jena, 07743, Germany","Comput. Vision Group, Friedrich Schiller Univ. of Jena, Jena, Germany"],"affiliations":[{"raw_affiliation_string":"Computer Vision Group, Friedrich Schiller University of Jena, Ernst-Abbe-Platz 2-4, Jena, 07743, Germany","institution_ids":["https://openalex.org/I76198965"]},{"raw_affiliation_string":"Comput. Vision Group, Friedrich Schiller Univ. of Jena, Jena, Germany","institution_ids":["https://openalex.org/I76198965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038110981"],"corresponding_institution_ids":["https://openalex.org/I76198965"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.4919,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66631016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2013","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10199","display_name":"Wildlife Ecology and Conservation","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11214","display_name":"Human-Animal Interaction Studies","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7714933156967163},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.7654545307159424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6848387718200684},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5952520370483398},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.592089056968689},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5868555903434753},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.5211620330810547},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5134297609329224},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5014374256134033},{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.49869680404663086},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49430203437805176},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4656689167022705},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.439893513917923},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4385715126991272},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18424347043037415}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7714933156967163},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.7654545307159424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6848387718200684},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5952520370483398},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.592089056968689},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5868555903434753},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.5211620330810547},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5134297609329224},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5014374256134033},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.49869680404663086},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49430203437805176},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4656689167022705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.439893513917923},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4385715126991272},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18424347043037415},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/1687-5281-2013-45","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2013-45","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2013-45","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/1687-5281-2013-45","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2013-45","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2013-45","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6052429835","display_name":null,"funder_award_id":"(DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320313941","display_name":"Friedrich-Schiller-Universit\u00e4t Jena","ror":"https://ror.org/05qpz1x62"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320324682","display_name":"Max-Planck-Institut f\u00fcr Evolution\u00e4re Anthropologie","ror":"https://ror.org/02a33b393"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2147106936.pdf","grobid_xml":"https://content.openalex.org/works/W2147106936.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W25944667","https://openalex.org/W1483115773","https://openalex.org/W1518641734","https://openalex.org/W1628541567","https://openalex.org/W1964791943","https://openalex.org/W1972960710","https://openalex.org/W1974769587","https://openalex.org/W1992989752","https://openalex.org/W2009730749","https://openalex.org/W2031813546","https://openalex.org/W2033819227","https://openalex.org/W2035379092","https://openalex.org/W2038952578","https://openalex.org/W2069537876","https://openalex.org/W2069897905","https://openalex.org/W2072544504","https://openalex.org/W2073698788","https://openalex.org/W2080200165","https://openalex.org/W2082308025","https://openalex.org/W2082961564","https://openalex.org/W2090495691","https://openalex.org/W2098187595","https://openalex.org/W2098469266","https://openalex.org/W2103876808","https://openalex.org/W2107087585","https://openalex.org/W2109609391","https://openalex.org/W2112924835","https://openalex.org/W2117836656","https://openalex.org/W2118877769","https://openalex.org/W2120362239","https://openalex.org/W2124632179","https://openalex.org/W2128943708","https://openalex.org/W2128958079","https://openalex.org/W2130103520","https://openalex.org/W2131763721","https://openalex.org/W2133002485","https://openalex.org/W2133439900","https://openalex.org/W2143451044","https://openalex.org/W2146932984","https://openalex.org/W2150697917","https://openalex.org/W2151103935","https://openalex.org/W2151219244","https://openalex.org/W2152826766","https://openalex.org/W2152826865","https://openalex.org/W2153955579","https://openalex.org/W2155763684","https://openalex.org/W2157254703","https://openalex.org/W2163998463","https://openalex.org/W2167667767","https://openalex.org/W2171251208","https://openalex.org/W2172803778","https://openalex.org/W2209124607","https://openalex.org/W2246690291","https://openalex.org/W2265509455","https://openalex.org/W2493402089","https://openalex.org/W2534225927","https://openalex.org/W2608239929","https://openalex.org/W2766373678","https://openalex.org/W2809642731","https://openalex.org/W3157685993","https://openalex.org/W3177525997","https://openalex.org/W4200268060","https://openalex.org/W4229971152","https://openalex.org/W4243407123","https://openalex.org/W4245550249","https://openalex.org/W4245551996","https://openalex.org/W4285719527","https://openalex.org/W4297683907"],"related_works":["https://openalex.org/W132764016","https://openalex.org/W2148054235","https://openalex.org/W2132043085","https://openalex.org/W4251504644","https://openalex.org/W1721537561","https://openalex.org/W2123437433","https://openalex.org/W2056853153","https://openalex.org/W2369285629","https://openalex.org/W2057559274","https://openalex.org/W3094179683"],"abstract_inverted_index":{"For":[0,106],"many":[1],"fundamental":[2],"problems":[3],"and":[4,9,42,93,190,201,242],"applications":[5],"in":[6,30,71,98,137],"biomechanics,":[7],"biology,":[8],"robotics,":[10],"an":[11,65],"in-depth":[12],"understanding":[13],"of":[14,23,34,39,59,67,80,90,119,164,194,209,218,259],"animal":[15,92],"locomotion":[16,22,72],"is":[17,74,82,126,212,262],"essential.":[18],"To":[19,46],"analyze":[20],"the":[21,35,91,99,103,161,173,256],"animals,":[24],"high-speed":[25],"X-ray":[26,68,104],"videos":[27],"are":[28,38,96,111],"recorded,":[29,53],"which":[31,54,132,222],"anatomical":[32,120,135,199],"landmarks":[33,61,79,136],"locomotor":[36],"system":[37],"main":[40],"interest":[41,81],"must":[43],"be":[44,205],"located.":[45],"date,":[47],"several":[48],"thousand":[49],"sequences":[50],"have":[51],"been":[52],"makes":[55],"a":[56,83,129,148,185],"manual":[57],"annotation":[58],"all":[60,78,134,248],"practically":[62],"impossible.":[63],"Therefore,":[64],"automatization":[66],"landmark":[69,226,249,269],"tracking":[70,77,245,257],"scenarios":[73],"worthwhile.":[75],"However,":[76],"very":[84,116],"challenging":[85],"task,":[86],"as":[87],"severe":[88],"self-occlusions":[89],"low":[94],"contrast":[95],"present":[97,128],"images":[100],"due":[101],"to":[102,127,171,265],"modality.":[105],"this":[107,167],"reason,":[108],"existing":[109],"approaches":[110],"currently":[112],"only":[113],"applicable":[114],"for":[115,247,271],"specific":[117],"subsets":[118],"landmarks.":[121,165],"In":[122,166,251],"contrast,":[123],"our":[124,210,235,260],"goal":[125],"holistic":[130],"approach":[131,189,211,261],"models":[133,145],"one":[138],"consistent,":[139],"probabilistic":[140,187],"framework.":[141],"While":[142],"active":[143],"appearance":[144],"(AAMs)":[146],"provide":[147,266],"reasonable":[149,244],"global":[150],"modeling":[151],"framework,":[152],"they":[153],"yield":[154],"poor":[155],"fitting":[156,175,188,241],"results":[157,193,246],"when":[158],"applied":[159],"on":[160,214],"full":[162],"set":[163],"paper,":[168],"we":[169,253],"propose":[170],"augment":[172],"AAM":[174,240],"process":[176],"by":[177,229],"imposing":[178],"constraints":[179,203],"from":[180],"various":[181],"sources.":[182],"We":[183,232],"derive":[184],"general":[186],"show":[191,233,254],"how":[192],"subset":[195],"AAMs,":[196],"local":[197],"tracking,":[198],"knowledge,":[200],"epipolar":[202],"can":[204],"included.":[206],"The":[207],"evaluation":[208],"based":[213],"32":[215],"real-world":[216],"datasets":[217],"five":[219],"bird":[220],"species":[221],"contain":[223],"175,942":[224],"ground-truth":[225],"positions":[227],"provided":[228],"human":[230],"experts.":[231],"that":[234,255],"method":[236],"clearly":[237],"outperforms":[238],"standard":[239],"provides":[243],"types.":[250],"addition,":[252],"accuracy":[258],"even":[263],"sufficient":[264],"reliable":[267],"three-dimensional":[268],"estimates":[270],"calibrated":[272],"datasets.":[273]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
