{"id":"https://openalex.org/W2054266004","doi":"https://doi.org/10.1109/wacv.2014.6836114","title":"3D pose estimation of bats in the wild","display_name":"3D pose estimation of bats in the wild","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W2054266004","doi":"https://doi.org/10.1109/wacv.2014.6836114","mag":"2054266004"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2014.6836114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2014.6836114","pdf_url":null,"source":{"id":"https://openalex.org/S4393918690","display_name":"IEEE Winter Conference on Applications of Computer Vision","issn_l":"2472-6737","issn":["2472-6737"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Winter Conference on Applications of 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/A5039528610","display_name":"Mikhail Breslav","orcid":null},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mikhail Breslav","raw_affiliation_strings":["Department of Computer Science, Boston University","Department of Computer Science, Boston University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Boston University","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Department of Computer Science, Boston University, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018070849","display_name":"Nathan W. Fuller","orcid":"https://orcid.org/0000-0003-2185-3646"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan Fuller","raw_affiliation_strings":["Department of Biology, Boston University","Department of Biology Boston University USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biology, Boston University","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Department of Biology Boston University USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042663603","display_name":"Stan Sclaroff","orcid":"https://orcid.org/0000-0002-0711-4313"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stan Sclaroff","raw_affiliation_strings":["Department of Computer Science, Boston University","Department of Computer Science, Boston University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Boston University","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Department of Computer Science, Boston University, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058798782","display_name":"Margrit Betke","orcid":"https://orcid.org/0000-0002-4491-6868"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Margrit Betke","raw_affiliation_strings":["Department of Computer Science, Boston University","Department of Computer Science, Boston University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Boston University","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Department of Computer Science, Boston University, USA","institution_ids":["https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111088046"],"apc_list":null,"apc_paid":null,"fwci":1.533,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85318275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T11228","display_name":"Bat Biology and Ecology Studies","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9944999814033508,"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/pose","display_name":"Pose","score":0.815384566783905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7243012189865112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6980103254318237},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6805463433265686},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5872617959976196},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.575156033039093},{"id":"https://openalex.org/keywords/articulated-body-pose-estimation","display_name":"Articulated body pose estimation","score":0.5472663044929504},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.49316495656967163},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42069023847579956},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.24557074904441833},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19790002703666687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14829936623573303}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.815384566783905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7243012189865112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6980103254318237},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6805463433265686},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5872617959976196},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.575156033039093},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.5472663044929504},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.49316495656967163},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42069023847579956},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.24557074904441833},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19790002703666687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14829936623573303},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wacv.2014.6836114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2014.6836114","pdf_url":null,"source":{"id":"https://openalex.org/S4393918690","display_name":"IEEE Winter Conference on Applications of Computer Vision","issn_l":"2472-6737","issn":["2472-6737"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Winter Conference on Applications of Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.643.6966","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.643.6966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bu.edu/fac/betke/papers/Breslav-etal-WACV-2014.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1663973292","https://openalex.org/W2060280062","https://openalex.org/W2065093047","https://openalex.org/W2072544504","https://openalex.org/W2090110089","https://openalex.org/W2093588209","https://openalex.org/W2096139825","https://openalex.org/W2101902009","https://openalex.org/W2119350939","https://openalex.org/W2123503110","https://openalex.org/W2127533484","https://openalex.org/W2131417778","https://openalex.org/W2137940226","https://openalex.org/W2143542093","https://openalex.org/W2147270164","https://openalex.org/W2149382413","https://openalex.org/W2160892909","https://openalex.org/W2316554392","https://openalex.org/W2334145045","https://openalex.org/W2537515364","https://openalex.org/W2540462820","https://openalex.org/W4212863985","https://openalex.org/W6681330546","https://openalex.org/W6681483465","https://openalex.org/W6729161146"],"related_works":["https://openalex.org/W2113785214","https://openalex.org/W2946083937","https://openalex.org/W2798721181","https://openalex.org/W4299867837","https://openalex.org/W4386075737","https://openalex.org/W2951583186","https://openalex.org/W1974260915","https://openalex.org/W4382141741","https://openalex.org/W2088028039","https://openalex.org/W3165753266"],"abstract_inverted_index":{"Vision-based":[0],"methods":[1],"have":[2,81],"gained":[3],"popularity":[4],"as":[5],"a":[6,39,109,128],"tool":[7],"for":[8,17,48,134,148,189,199],"helping":[9],"to":[10,92],"analyze":[11],"the":[12,20,55,64,75,94,135,139,155],"behavior":[13],"of":[14,28,71,97,121,151],"bats.":[15],"Though,":[16],"bats":[18,123,152],"in":[19,138,154,160],"wild,":[21],"there":[22],"are":[23],"still":[24],"no":[25],"tools":[26],"capable":[27],"estimating":[29],"and":[30,74,89,103,124,163,173,191],"subsequently":[31],"analyzing":[32],"articulated":[33,42,61,99,141],"3D":[34,43,62,72,100,142],"bat":[35,44,101,129],"pose.":[36],"We":[37],"propose":[38],"model-based":[40],"multi-view":[41,86],"pose":[45,143],"estimation":[46],"framework":[47],"this":[49],"novel":[50],"problem.":[51],"Key":[52],"challenges":[53],"include":[54],"large":[56],"search":[57],"space":[58,96],"associated":[59],"with":[60],"pose,":[63],"ambiguities":[65],"that":[66],"arise":[67],"from":[68,180],"2D":[69],"projections":[70],"bodies,":[73],"low":[76],"resolution":[77],"image":[78],"data":[79,120],"we":[80],"available.":[82],"Our":[83,115,131],"method":[84,172],"uses":[85],"camera":[87],"geometry":[88],"temporal":[90],"constraints":[91],"reduce":[93],"state":[95],"possible":[98],"poses":[102],"finds":[104],"an":[105],"optimal":[106],"set":[107],"using":[108],"Markov":[110],"Random":[111],"Field":[112],"based":[113,175],"model.":[114],"experiments":[116],"use":[117],"real":[118],"video":[119,149],"flying":[122,153],"gold-standard":[125,177],"annotations":[126],"by":[127,170],"biologist.":[130],"results":[132],"show,":[133],"first":[136],"time":[137],"literature,":[140],"estimates":[144,168],"being":[145],"generated":[146],"automatically":[147],"sequences":[150],"wild.":[156],"The":[157],"average":[158],"differences":[159],"body":[161],"orientation":[162,190],"wing":[164,200],"joint":[165,201],"angles,":[166],"between":[167],"produced":[169],"our":[171],"those":[174],"on":[176],"annotations,":[178],"ranged":[179],"16\u00b0":[181],"-":[182,187,193],"21\u00b0":[183],"(i.e.,":[184,195],"\u2248":[185,196],"17%":[186],"23%)":[188],"14\u00b0":[192],"26\u00b0":[194],"7%-":[197],"14%)":[198],"angles.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}