{"id":"https://openalex.org/W2040599625","doi":"https://doi.org/10.1117/12.2003686","title":"Recognition of two-person interaction in multi-view surveillance video via proxemics cues and spatio-temporal interest points","display_name":"Recognition of two-person interaction in multi-view surveillance video via proxemics cues and spatio-temporal interest points","publication_year":2013,"publication_date":"2013-03-19","ids":{"openalex":"https://openalex.org/W2040599625","doi":"https://doi.org/10.1117/12.2003686","mag":"2040599625"},"language":"en","primary_location":{"id":"doi:10.1117/12.2003686","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2003686","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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":false,"raw_author_name":"Bo Zhang","raw_affiliation_strings":["Univ. degli Studi di Trento (Italy)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. degli Studi di 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":["Univ. degli Studi di Trento (Italy)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. degli Studi di Trento (Italy)","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","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":["Univ. degli Studi di Trento (Italy)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. degli Studi di Trento (Italy)","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8663","issue":null,"first_page":"866305","last_page":"866305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9959999918937683,"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":0.9950000047683716,"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/proxemics","display_name":"Proxemics","score":0.9514482617378235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7914835214614868},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.691006600856781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6814427971839905},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6233497858047485},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5809369683265686},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5745283365249634},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4409826397895813},{"id":"https://openalex.org/keywords/sensory-cue","display_name":"Sensory cue","score":0.43598899245262146},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.21300986409187317}],"concepts":[{"id":"https://openalex.org/C170334801","wikidata":"https://www.wikidata.org/wiki/Q171755","display_name":"Proxemics","level":2,"score":0.9514482617378235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7914835214614868},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.691006600856781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6814427971839905},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6233497858047485},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5809369683265686},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5745283365249634},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4409826397895813},{"id":"https://openalex.org/C111370547","wikidata":"https://www.wikidata.org/wiki/Q7451120","display_name":"Sensory cue","level":2,"score":0.43598899245262146},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.21300986409187317}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2003686","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2003686","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unitn.it:11572/96658","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/96658","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":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2015894504","https://openalex.org/W112976352","https://openalex.org/W2052798730","https://openalex.org/W2793628147","https://openalex.org/W2164350434","https://openalex.org/W2492115513","https://openalex.org/W2051360178","https://openalex.org/W2170615370","https://openalex.org/W2187168746","https://openalex.org/W3201396985"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,51,60],"novel":[6],"method":[7,68],"to":[8,27,58],"recognize":[9],"different":[10],"types":[11],"of":[12,31],"two-person":[13],"interactions":[14],"through":[15],"multi-view":[16],"surveillance":[17],"cameras.":[18],"From":[19],"the":[20,29,32,36,39,70,80,85],"bird-eye":[21],"view,":[22],"proxemics":[23],"cues":[24],"are":[25,43],"exploited":[26],"segment":[28],"duration":[30],"interaction,":[33],"while":[34],"from":[35],"lateral":[37],"view":[38],"corresponding":[40],"interaction":[41,73],"intervals":[42],"extracted.":[44],"The":[45],"classification":[46,86],"is":[47,56],"achieved":[48],"by":[49],"applying":[50],"<i>visual":[52],"bag-of-words</i>":[53],"approach,":[54],"which":[55],"used":[57],"train":[59],"liner":[61],"multi-class":[62],"SVM":[63],"classifier.":[64],"We":[65],"test":[66],"our":[67],"on":[69],"UNITN":[71],"social":[72],"dataset.":[74],"Experimental":[75],"results":[76],"show":[77],"that":[78],"using":[79],"temporal":[81],"segmentation":[82],"can":[83],"improve":[84],"performance.":[87]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}