{"id":"https://openalex.org/W2112324691","doi":"https://doi.org/10.1109/iccv.2011.6126375","title":"Outdoor human motion capture using inverse kinematics and von mises-fisher sampling","display_name":"Outdoor human motion capture using inverse kinematics and von mises-fisher sampling","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2112324691","doi":"https://doi.org/10.1109/iccv.2011.6126375","mag":"2112324691"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2011.6126375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 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/A5076908763","display_name":"Gerard Pons\u2010Moll","orcid":"https://orcid.org/0000-0001-5115-7794"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerard Pons-Moll","raw_affiliation_strings":["Leibniz University Hannover, Germany","[Leibniz University Hannover, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leibniz University Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]},{"raw_affiliation_string":"[Leibniz University Hannover, Germany]","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076019511","display_name":"Andreas Baak","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]},{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Baak","raw_affiliation_strings":["Saarland University & MPI Informatik, Germany","Saarland University and MPI Informatik , Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saarland University & MPI Informatik, Germany","institution_ids":["https://openalex.org/I4210109712","https://openalex.org/I91712215"]},{"raw_affiliation_string":"Saarland University and MPI Informatik , Germany","institution_ids":["https://openalex.org/I4210109712","https://openalex.org/I91712215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012240246","display_name":"J\u00fcergen Gall","orcid":"https://orcid.org/0000-0002-9447-3399"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Juergen Gall","raw_affiliation_strings":["BIWI, ETH Zurich, Switzerland","[BIWI, ETH Zurich, Switzerland]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BIWI, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"[BIWI, ETH Zurich, Switzerland]","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090283032","display_name":"Laura Leal-Taix\u00e9","orcid":"https://orcid.org/0000-0001-8709-1133"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]},{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Laura Leal-Taixe","raw_affiliation_strings":["Leibniz University Hannover, Germany","Saarland University and MPI Informatik , Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leibniz University Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]},{"raw_affiliation_string":"Saarland University and MPI Informatik , Germany","institution_ids":["https://openalex.org/I4210109712","https://openalex.org/I91712215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109881851","display_name":"Meinard M\u00fcller","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]},{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Meinard Muller","raw_affiliation_strings":["Saarland University & MPI Informatik, Germany","Saarland University and MPI Informatik , Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saarland University & MPI Informatik, Germany","institution_ids":["https://openalex.org/I4210109712","https://openalex.org/I91712215"]},{"raw_affiliation_string":"Saarland University and MPI Informatik , Germany","institution_ids":["https://openalex.org/I4210109712","https://openalex.org/I91712215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058028526","display_name":"Hans\u2010Peter Seidel","orcid":"https://orcid.org/0000-0002-1343-8613"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]},{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hans-Peter Seidel","raw_affiliation_strings":["Saarland University & MPI Informatik, Germany","[Leibniz University Hannover, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saarland University & MPI Informatik, Germany","institution_ids":["https://openalex.org/I4210109712","https://openalex.org/I91712215"]},{"raw_affiliation_string":"[Leibniz University Hannover, Germany]","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040412734","display_name":"Bodo Rosenhahn","orcid":"https://orcid.org/0000-0003-3861-1424"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bodo Rosenhahn","raw_affiliation_strings":["Leibniz University Hannover, Germany","[Leibniz University Hannover, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leibniz University Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]},{"raw_affiliation_string":"[Leibniz University Hannover, Germany]","institution_ids":["https://openalex.org/I114112103"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.635,"has_fulltext":false,"cited_by_count":83,"citation_normalized_percentile":{"value":0.95822482,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1243","last_page":"1250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9979000091552734,"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":0.992900013923645,"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/computer-vision","display_name":"Computer vision","score":0.6622360944747925},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6476602554321289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6345019340515137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6261913776397705},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.5881091952323914},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.587493896484375},{"id":"https://openalex.org/keywords/inverse-kinematics","display_name":"Inverse kinematics","score":0.5151571035385132},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5120394825935364},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4940960705280304},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.44406867027282715},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.42701634764671326},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.413730651140213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2887539863586426},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.2407418191432953},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09583225846290588}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6622360944747925},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6476602554321289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6345019340515137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6261913776397705},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5881091952323914},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.587493896484375},{"id":"https://openalex.org/C17816587","wikidata":"https://www.wikidata.org/wiki/Q1501872","display_name":"Inverse kinematics","level":3,"score":0.5151571035385132},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5120394825935364},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4940960705280304},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.44406867027282715},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.42701634764671326},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.413730651140213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2887539863586426},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.2407418191432953},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09583225846290588},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/iccv.2011.6126375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.295.9743","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.9743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.tnt.uni-hannover.de/papers/data/901/Pons-Moll_ICCV2011.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.364.9303","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.9303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mpi-inf.mpg.de/~abaak/download/2011_PonsBaGaLeMuSeRo_OutdoorMocap_ICCV.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.646.5568","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.5568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ps.is.tue.mpg.de/publications/142/get_file/","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.646.9713","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.9713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ps.is.tue.mpg.de/publications/141/get_file/","raw_type":"text"},{"id":"pmh:oai:edoc.mpg.de:618876","is_oa":false,"landing_page_url":"http://edoc.mpg.de/618876","pdf_url":null,"source":{"id":"https://openalex.org/S4406922265","display_name":"Max Planck Institute for Plasma Physics","issn_l":null,"issn":null,"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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2011 IEEE International Conference on Computer Vision (ICCV), IEEE, 1243-1250 (2011)","raw_type":"Conference-Paper"},{"id":"pmh:oai:pure.mpg.de:item_1562615","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0010-13E4-E","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Computer Vision","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6399999856948853,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W376620111","https://openalex.org/W1508437923","https://openalex.org/W1564897360","https://openalex.org/W1643263348","https://openalex.org/W1911783559","https://openalex.org/W1939158689","https://openalex.org/W2000044793","https://openalex.org/W2006178360","https://openalex.org/W2014905483","https://openalex.org/W2017249118","https://openalex.org/W2049381231","https://openalex.org/W2069879691","https://openalex.org/W2080094394","https://openalex.org/W2095800081","https://openalex.org/W2096044283","https://openalex.org/W2097412577","https://openalex.org/W2098979973","https://openalex.org/W2103025041","https://openalex.org/W2104020497","https://openalex.org/W2104228767","https://openalex.org/W2121005842","https://openalex.org/W2121870799","https://openalex.org/W2126526301","https://openalex.org/W2134484928","https://openalex.org/W2140670136","https://openalex.org/W2149276699","https://openalex.org/W2149946238","https://openalex.org/W2152135130","https://openalex.org/W2152926413","https://openalex.org/W2154988037","https://openalex.org/W2164992736","https://openalex.org/W2210722207","https://openalex.org/W2482133267","https://openalex.org/W2542810659","https://openalex.org/W2993711070","https://openalex.org/W3141038539","https://openalex.org/W3217246742","https://openalex.org/W6636836683","https://openalex.org/W6639651639","https://openalex.org/W6650376447","https://openalex.org/W6674636896","https://openalex.org/W6675631895","https://openalex.org/W6678788417","https://openalex.org/W6680747436"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W2035264131","https://openalex.org/W1679012645","https://openalex.org/W3036468168","https://openalex.org/W2070318884","https://openalex.org/W2011939812"],"abstract_inverted_index":{"Human":[0],"motion":[1],"capturing":[2],"(HMC)":[3],"from":[4,60,67,77],"multiview":[5],"image":[6],"sequences":[7],"is":[8,54],"an":[9,47,100,186],"extremely":[10],"difficult":[11],"problem":[12],"due":[13],"to":[14,55,64,83,88,125,160],"depth":[15],"and":[16,19,87,142,194],"orientation":[17,57,115,137,166],"ambiguities":[18],"the":[20,24,61,68,78,91,105,114,131,143,172],"high":[21],"dimensionality":[22],"of":[23,70,145],"state":[25],"space.":[26],"In":[27,171],"this":[28],"paper,":[29],"we":[30,98,118,174],"introduce":[31,119],"a":[32,120],"novel":[33,121],"hybrid":[34],"HMC":[35],"system":[36,178],"that":[37,163,176],"combines":[38],"video":[39,79],"input":[40,63,80],"with":[41,189],"sparse":[42],"inertial":[43,62],"sensor":[44,122],"input.":[45],"Employing":[46],"annealing":[48],"particle-based":[49],"optimization":[50],"scheme,":[51],"our":[52,95,155,177],"idea":[53],"use":[56],"cues":[58,75],"derived":[59,76,108],"sample":[65,161],"particles":[66,86,106,147],"manifold":[69],"valid":[71],"poses.":[72],"Then,":[73],"visual":[74],"are":[81,107,139],"used":[82,159],"weight":[84],"these":[85],"iteratively":[89],"derive":[90],"final":[92],"pose.":[93],"As":[94],"main":[96],"contribution,":[97],"propose":[99],"efficient":[101],"sampling":[102],"procedure":[103],"where":[104],"analytically":[109],"using":[110],"inverse":[111],"kinematics":[112],"on":[113,130],"cues.":[116],"Additionally,":[117],"noise":[123],"model":[124],"account":[126],"for":[127],"uncertainties":[128],"based":[129],"von":[132],"Mises-Fisher":[133],"distribution.":[134],"Doing":[135],"so,":[136],"constraints":[138],"naturally":[140],"fulfilled":[141],"number":[144],"needed":[146],"can":[148,157,179],"be":[149,158],"kept":[150],"very":[151],"small.":[152],"More":[153],"generally,":[154],"method":[156],"poses":[162],"fulfill":[164],"arbitrary":[165],"or":[167],"positional":[168],"kinematic":[169],"constraints.":[170],"experiments,":[173],"show":[175],"track":[180],"even":[181],"highly":[182],"dynamic":[183],"motions":[184],"in":[185],"outdoor":[187],"environment":[188],"changing":[190],"illumination,":[191],"background":[192],"clutter,":[193],"shadows.":[195]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
