{"id":"https://openalex.org/W1557274483","doi":"https://doi.org/10.1109/icme.2015.7177480","title":"Human interaction recognition in the wild: Analyzing trajectory clustering from multiple-instance-learning perspective","display_name":"Human interaction recognition in the wild: Analyzing trajectory clustering from multiple-instance-learning perspective","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1557274483","doi":"https://doi.org/10.1109/icme.2015.7177480","mag":"1557274483"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2015.7177480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2015.7177480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100335339","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0002-9006-1303"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Bo Zhang","raw_affiliation_strings":["DISI - University of Trento, Italy","DISI, Univ. of Trento, Italy"],"affiliations":[{"raw_affiliation_string":"DISI - University of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"DISI, Univ. of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046536801","display_name":"Paolo Rota","orcid":"https://orcid.org/0000-0003-0663-5659"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Rota","raw_affiliation_strings":["DISI - University of Trento, Italy","DISI, Univ. of Trento, Italy"],"affiliations":[{"raw_affiliation_string":"DISI - University of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"DISI, Univ. of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073436476","display_name":"Nicola Conci","orcid":"https://orcid.org/0000-0002-7858-0928"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Conci","raw_affiliation_strings":["DISI - University of Trento, Italy","DISI, Univ. of Trento, Italy"],"affiliations":[{"raw_affiliation_string":"DISI - University of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"DISI, Univ. of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068660181","display_name":"Francesco G. B. De Natale","orcid":"https://orcid.org/0000-0003-2566-6995"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco G.B. De Natale","raw_affiliation_strings":["DISI - University of Trento, Italy","DISI, Univ. of Trento, Italy"],"affiliations":[{"raw_affiliation_string":"DISI - University of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"DISI, Univ. of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100335339"],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":0.3682,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66213862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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":0.998199999332428,"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"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9936000108718872,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7344334125518799},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6885833740234375},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6838619112968445},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6729106307029724},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6489472985267639},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6414282917976379},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5987184643745422},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5389004945755005},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5328182578086853},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5245435833930969},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5077120065689087},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.4857509732246399},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.4819200336933136},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41908156871795654},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18118071556091309}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7344334125518799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6885833740234375},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6838619112968445},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6729106307029724},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6489472985267639},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6414282917976379},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5987184643745422},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5389004945755005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5328182578086853},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5245435833930969},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5077120065689087},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.4857509732246399},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.4819200336933136},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41908156871795654},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18118071556091309},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2015.7177480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2015.7177480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unitn.it:11572/126685","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/126685","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W10916678","https://openalex.org/W47624021","https://openalex.org/W1565206031","https://openalex.org/W1979545636","https://openalex.org/W2020163092","https://openalex.org/W2032331803","https://openalex.org/W2042041679","https://openalex.org/W2055753778","https://openalex.org/W2056380775","https://openalex.org/W2071680411","https://openalex.org/W2073605108","https://openalex.org/W2078579128","https://openalex.org/W2126574503","https://openalex.org/W2126579184","https://openalex.org/W2142258645","https://openalex.org/W2163292664","https://openalex.org/W2165715280","https://openalex.org/W2171857946","https://openalex.org/W2394608710","https://openalex.org/W6601945223","https://openalex.org/W6633567737","https://openalex.org/W6669992580","https://openalex.org/W6711768033"],"related_works":["https://openalex.org/W839483973","https://openalex.org/W1604953040","https://openalex.org/W4241657933","https://openalex.org/W1969136679","https://openalex.org/W2123542128","https://openalex.org/W1979041948","https://openalex.org/W4250500397","https://openalex.org/W2156379140","https://openalex.org/W2114935989","https://openalex.org/W2380461545"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,13,55],"propose":[4],"a":[5,21,80,101],"framework":[6],"to":[7,16],"recognize":[8],"complex":[9],"human":[10,18,110,116],"interactions.":[11],"First,":[12],"adopt":[14,56],"trajectories":[15,26,43],"represent":[17],"motion":[19,35,50,69,84],"in":[20],"video.":[22],"Then,":[23],"the":[24,38,45,57,67,90,97,108,114,120],"extracted":[25],"are":[27,87],"clustered":[28],"into":[29],"different":[30],"groups":[31],"(named":[32],"as":[33,64,66],"local":[34,83],"patterns)":[36],"using":[37,96],"coherent":[39],"filtering":[40],"algorithm.":[41,104],"As":[42],"within":[44],"same":[46],"group":[47,68],"exhibit":[48],"similar":[49],"properties":[51],"(i.e.,":[52],"velocity,":[53],"direction),":[54],"histogram":[58],"of":[59,82,122],"large-displacement":[60],"optical":[61],"flow":[62],"(denoted":[63],"HO-LDOF)":[65],"feature":[70],"vector.":[71],"Thus,":[72],"each":[73],"video":[74],"can":[75],"be":[76],"briefly":[77],"represented":[78],"by":[79,89],"collection":[81],"patterns":[85],"that":[86],"described":[88],"HO-LDOF.":[91],"Finally,":[92],"classification":[93],"is":[94,100],"achieved":[95],"citation-KNN,":[98],"which":[99],"typical":[102],"multiple-instance-learning":[103],"Experimental":[105],"results":[106],"on":[107],"TV":[109],"interaction":[111,117],"dataset":[112,118],"and":[113],"UT":[115],"demonstrate":[119],"applicability":[121],"our":[123],"method.":[124]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
