{"id":"https://openalex.org/W2253043691","doi":"https://doi.org/10.1007/s11263-016-0939-9","title":"Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video","display_name":"Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video","publication_year":2016,"publication_date":"2016-08-09","ids":{"openalex":"https://openalex.org/W2253043691","doi":"https://doi.org/10.1007/s11263-016-0939-9","mag":"2253043691","pmid":"https://pubmed.ncbi.nlm.nih.gov/32336878"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-016-0939-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-016-0939-9","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs11263-016-0939-9.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs11263-016-0939-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034998511","display_name":"Luca Del Pero","orcid":"https://orcid.org/0000-0002-3795-0689"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Luca Del Pero","raw_affiliation_strings":["1IPAB, School of Informatics, University of Edinburgh, Crichton Street 10, Edinburgh, EH8 9AB UK","IPAB, School of Informatics, University of Edinburgh, Crichton Street 10, Edinburgh, EH8 9AB, UK"],"raw_orcid":"https://orcid.org/0000-0002-3795-0689","affiliations":[{"raw_affiliation_string":"1IPAB, School of Informatics, University of Edinburgh, Crichton Street 10, Edinburgh, EH8 9AB UK","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"IPAB, School of Informatics, University of Edinburgh, Crichton Street 10, Edinburgh, EH8 9AB, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088559113","display_name":"Susanna Ricco","orcid":"https://orcid.org/0009-0005-1505-7055"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Susanna Ricco","raw_affiliation_strings":["2Google, 1600 Amphitheatre Pkwy, Mountain View, CA 94043 USA","Google, 1600 Amphitheatre Pkwy, Mountain View, CA, 94043, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2Google, 1600 Amphitheatre Pkwy, Mountain View, CA 94043 USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google, 1600 Amphitheatre Pkwy, Mountain View, CA, 94043, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066107323","display_name":"Rahul Sukthankar","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Sukthankar","raw_affiliation_strings":["2Google, 1600 Amphitheatre Pkwy, Mountain View, CA 94043 USA","Google, 1600 Amphitheatre Pkwy, Mountain View, CA, 94043, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2Google, 1600 Amphitheatre Pkwy, Mountain View, CA 94043 USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google, 1600 Amphitheatre Pkwy, Mountain View, CA, 94043, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101423778","display_name":"Vittorio Ferrari","orcid":"https://orcid.org/0000-0002-1942-233X"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vittorio Ferrari","raw_affiliation_strings":["1IPAB, School of Informatics, University of Edinburgh, Crichton Street 10, Edinburgh, EH8 9AB UK","IPAB, School of Informatics, University of Edinburgh, Crichton Street 10, Edinburgh, EH8 9AB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1IPAB, School of Informatics, University of Edinburgh, Crichton Street 10, Edinburgh, EH8 9AB UK","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"IPAB, School of Informatics, University of Edinburgh, Crichton Street 10, Edinburgh, EH8 9AB, UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034998511"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":{"value":2890,"currency":"EUR","value_usd":3690},"fwci":0.9944,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.81940541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"121","issue":"2","first_page":"303","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T11439","display_name":"Video Analysis and Summarization","score":0.9987000226974487,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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-science","display_name":"Computer science","score":0.8250764012336731},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7217012643814087},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6991615295410156},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5755376815795898},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46330907940864563},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46101561188697815},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46072959899902344},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.44303086400032043},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.43458878993988037},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4278255105018616},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.31802496314048767}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8250764012336731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7217012643814087},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6991615295410156},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5755376815795898},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46330907940864563},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46101561188697815},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46072959899902344},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.44303086400032043},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.43458878993988037},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4278255105018616},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31802496314048767},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/s11263-016-0939-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-016-0939-9","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs11263-016-0939-9.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"International Journal of Computer Vision","raw_type":"journal-article"},{"id":"pmid:32336878","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32336878","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International journal of computer vision","raw_type":null},{"id":"pmh:oai:arXiv.org:1511.09319","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1511.09319","pdf_url":"https://arxiv.org/pdf/1511.09319","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7154839","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7154839","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Int J Comput Vis","raw_type":"Text"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/b68ce028-4787-4f1e-88fe-833958de18a6","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/b68ce028-4787-4f1e-88fe-833958de18a6","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Del Pero, L, Ricco, S, Sukthankar, R & Ferrari, V 2017, 'Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video', International Journal of Computer Vision, vol. 121, no. 2, pp. 303-325. https://doi.org/10.1007/s11263-016-0939-9","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/b68ce028-4787-4f1e-88fe-833958de18a6","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11820/b68ce028-4787-4f1e-88fe-833958de18a6","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.1007/s11263-016-0939-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-016-0939-9","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs11263-016-0939-9.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"},{"id":"https://openalex.org/F4320320273","display_name":"University of Cambridge","ror":"https://ror.org/013meh722"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2253043691.pdf","grobid_xml":"https://content.openalex.org/works/W2253043691.grobid-xml"},"referenced_works_count":104,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W157898781","https://openalex.org/W166750225","https://openalex.org/W410625161","https://openalex.org/W1211924006","https://openalex.org/W1230023165","https://openalex.org/W1523794535","https://openalex.org/W1556531089","https://openalex.org/W1596155328","https://openalex.org/W1763426478","https://openalex.org/W1945475446","https://openalex.org/W1947023414","https://openalex.org/W1969552659","https://openalex.org/W1969721374","https://openalex.org/W1973054923","https://openalex.org/W1973166425","https://openalex.org/W1976595761","https://openalex.org/W1989684337","https://openalex.org/W1998605630","https://openalex.org/W1998871699","https://openalex.org/W2010399676","https://openalex.org/W2013640163","https://openalex.org/W2016053056","https://openalex.org/W2030536784","https://openalex.org/W2033403400","https://openalex.org/W2033819227","https://openalex.org/W2034328688","https://openalex.org/W2055527244","https://openalex.org/W2055753778","https://openalex.org/W2056397190","https://openalex.org/W2056552869","https://openalex.org/W2057749491","https://openalex.org/W2062903088","https://openalex.org/W2064776690","https://openalex.org/W2067467244","https://openalex.org/W2073258385","https://openalex.org/W2078917276","https://openalex.org/W2085261163","https://openalex.org/W2089698578","https://openalex.org/W2095581372","https://openalex.org/W2097446893","https://openalex.org/W2101121293","https://openalex.org/W2102605133","https://openalex.org/W2105101328","https://openalex.org/W2105148880","https://openalex.org/W2105297725","https://openalex.org/W2106471914","https://openalex.org/W2106842582","https://openalex.org/W2110226160","https://openalex.org/W2111371393","https://openalex.org/W2113708607","https://openalex.org/W2121927366","https://openalex.org/W2122075562","https://openalex.org/W2122361470","https://openalex.org/W2123026371","https://openalex.org/W2125340118","https://openalex.org/W2126060993","https://openalex.org/W2126574503","https://openalex.org/W2126579184","https://openalex.org/W2129587342","https://openalex.org/W2130350952","https://openalex.org/W2131747574","https://openalex.org/W2134270519","https://openalex.org/W2137981002","https://openalex.org/W2138232383","https://openalex.org/W2139019684","https://openalex.org/W2140313061","https://openalex.org/W2142173439","https://openalex.org/W2145169631","https://openalex.org/W2146634731","https://openalex.org/W2146766088","https://openalex.org/W2147661572","https://openalex.org/W2149021215","https://openalex.org/W2151103935","https://openalex.org/W2154644822","https://openalex.org/W2155904486","https://openalex.org/W2157084238","https://openalex.org/W2160014001","https://openalex.org/W2161969291","https://openalex.org/W2162451865","https://openalex.org/W2163111588","https://openalex.org/W2166010828","https://openalex.org/W2166049352","https://openalex.org/W2166294429","https://openalex.org/W2168356304","https://openalex.org/W2169841176","https://openalex.org/W2171490473","https://openalex.org/W2172803778","https://openalex.org/W2308045930","https://openalex.org/W2533503513","https://openalex.org/W2535410496","https://openalex.org/W2539222059","https://openalex.org/W3021282624","https://openalex.org/W3105265400","https://openalex.org/W3142970622","https://openalex.org/W3143107425","https://openalex.org/W4235169531","https://openalex.org/W4237044863","https://openalex.org/W4243493583","https://openalex.org/W4244030505","https://openalex.org/W4249279051","https://openalex.org/W4298876635","https://openalex.org/W6658838613","https://openalex.org/W6675895156"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3034955165","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2049930962"],"abstract_inverted_index":{"We":[0,179],"propose":[1],"an":[2,16,159],"automatic":[3],"system":[4,50,186],"for":[5,54,58,68,128],"organizing":[6,55],"the":[7,25,30,70,115,133,148,198,210],"content":[8],"of":[9,12,15,29,74,87,96,114,135,138,145,147,184],"a":[10,66,93,151,163,167,188],"collection":[11],"unstructured":[13],"videos":[14],"articulated":[17,129],"object":[18,75],"class":[19,31,149],"(e.g.,":[20,158],"tiger,":[21],"horse).":[22],"By":[23],"exploiting":[24],"recurring":[26],"motion":[27,126,130],"patterns":[28],"across":[32,46],"videos,":[33],"our":[34,124,185],"system:":[35],"(1)":[36],"identifies":[37],"its":[38],"characteristic":[39],"behaviors,":[40],"and":[41,60,162],"(2)":[42],"recovers":[43],"pixel-to-pixel":[44],"alignments":[45],"different":[47],"instances.":[48],"Our":[49],"can":[51,64,175],"be":[52,65],"useful":[53],"video":[56,106],"collections":[57],"indexing":[59],"retrieval.":[61],"Moreover,":[62],"it":[63],"platform":[67],"learning":[69],"appearance":[71,156],"or":[72],"behaviors":[73],"classes":[76],"from":[77],"Internet":[78],"video.":[79],"Traditional":[80],"supervised":[81],"techniques":[82],"cannot":[83],"exploit":[84],"this":[85],"wealth":[86],"data":[88],"directly,":[89],"as":[90],"they":[91],"require":[92],"large":[94],"amount":[95],"time-consuming":[97],"manual":[98],"annotations.":[99],"The":[100,140],"behavior":[101,194],"discovery":[102],"stage":[103,142],"generates":[104],"temporal":[105],"intervals,":[107],"each":[108,182],"automatically":[109],"trimmed":[110],"to":[111,150],"one":[112],"instance":[113],"discovered":[116],"behavior,":[117],"clustered":[118],"by":[119],"type.":[120],"It":[121,165],"relies":[122],"on":[123,132,187],"novel":[125],"representation":[127],"based":[131],"displacement":[134],"ordered":[136],"pairs":[137],"trajectories.":[139],"alignment":[141],"aligns":[143],"hundreds":[144],"instances":[146],"great":[152],"accuracy":[153],"despite":[154],"considerable":[155],"variations":[157],"adult":[160],"tiger":[161],"cub).":[164],"uses":[166],"flexible":[168],"thin":[169],"plate":[170],"spline":[171],"deformation":[172],"model":[173],"that":[174],"vary":[176],"through":[177],"time.":[178],"carefully":[180],"evaluate":[181],"step":[183],"new,":[189],"fully":[190],"annotated":[191],"dataset.":[192],"On":[193,205],"discovery,":[195],"we":[196,208],"outperform":[197,209],"state-of-the-art":[199],"improved":[200],"dense":[201],"trajectory":[202],"feature":[203],"descriptor.":[204],"spatial":[206],"alignment,":[207],"popular":[211],"SIFT":[212],"Flow":[213],"algorithm.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2020-11-23T00:00:00"}