{"id":"https://openalex.org/W1981743595","doi":"https://doi.org/10.1145/1877868.1877874","title":"Joint multitarget object tracking and interaction analysis by a probabilistic bio-inspired model","display_name":"Joint multitarget object tracking and interaction analysis by a probabilistic bio-inspired model","publication_year":2010,"publication_date":"2010-10-29","ids":{"openalex":"https://openalex.org/W1981743595","doi":"https://doi.org/10.1145/1877868.1877874","mag":"1981743595"},"language":"en","primary_location":{"id":"doi:10.1145/1877868.1877874","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1877868.1877874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams","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/A5018574532","display_name":"Francesco Monti","orcid":"https://orcid.org/0009-0002-6466-0115"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Francesco Monti","raw_affiliation_strings":["Department of Biophysical and Electronic Engineering, University of Genova, Italy., Genova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Biophysical and Electronic Engineering, University of Genova, Italy., Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003212054","display_name":"Stefano Maludrottu","orcid":null},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Maludrottu","raw_affiliation_strings":["Department of Biophysical and Electronic Engineering, University of Genova, Italy., Genova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Biophysical and Electronic Engineering, University of Genova, Italy., Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055281228","display_name":"Carlo S. Regazzoni","orcid":"https://orcid.org/0000-0001-6617-1417"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo S. Regazzoni","raw_affiliation_strings":["Department of Biophysical and Electronic Engineering, University of Genova, Italy., Genova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Biophysical and Electronic Engineering, University of Genova, Italy., Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018574532"],"corresponding_institution_ids":["https://openalex.org/I83816512"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07147094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9860000014305115,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7683877944946289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7199620008468628},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6866700649261475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6716173887252808},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5744287967681885},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5736128687858582},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5524783730506897},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5376656651496887},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5077098608016968},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.48984333872795105},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4426327347755432},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.4131830036640167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39123260974884033},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37578678131103516},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17623475193977356},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.150468111038208},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09170487523078918}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7683877944946289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7199620008468628},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6866700649261475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6716173887252808},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5744287967681885},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5736128687858582},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5524783730506897},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5376656651496887},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5077098608016968},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.48984333872795105},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4426327347755432},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.4131830036640167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39123260974884033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37578678131103516},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17623475193977356},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.150468111038208},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09170487523078918},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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:10.1145/1877868.1877874","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1877868.1877874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unige.it:11567/259643","is_oa":false,"landing_page_url":"http://hdl.handle.net/11567/259643","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W1482815597","https://openalex.org/W1532362218","https://openalex.org/W1935991141","https://openalex.org/W1963949534","https://openalex.org/W1964395255","https://openalex.org/W1993405060","https://openalex.org/W2060451775","https://openalex.org/W2098570825","https://openalex.org/W2100675387","https://openalex.org/W2110069502","https://openalex.org/W2110138108","https://openalex.org/W2118942859","https://openalex.org/W2131768110","https://openalex.org/W2149231808","https://openalex.org/W2160337655","https://openalex.org/W2162919312","https://openalex.org/W2163202959","https://openalex.org/W2171080644","https://openalex.org/W3187867541"],"related_works":["https://openalex.org/W2318603563","https://openalex.org/W887692824","https://openalex.org/W2354419434","https://openalex.org/W2021121433","https://openalex.org/W4285271403","https://openalex.org/W3178626677","https://openalex.org/W2110357291","https://openalex.org/W3015801620","https://openalex.org/W2091015105","https://openalex.org/W377974473"],"abstract_inverted_index":{"In":[0],"this":[1,42],"paper":[2],"a":[3,44,51,109],"joint":[4],"human":[5],"tracking":[6,33,46],"and":[7],"human-to-human":[8],"interaction":[9,53],"recognition":[10],"system":[11],"is":[12,28,48,106],"proposed.":[13],"While":[14],"usually":[15],"these":[16,36],"two":[17],"functions":[18,37],"are":[19,38,66,83,91],"performed":[20],"separately,":[21],"it":[22,27],"will":[23],"be":[24],"shown":[25],"that":[26,90],"possible":[29],"to":[30,70,93],"improve":[31],"the":[32,64,72,81,95,103],"performances":[34],"if":[35],"done":[39],"jointly.":[40],"For":[41],"purpose,":[43],"Bayesian":[45],"algorithm":[47],"coupled":[49],"with":[50],"bio-inspired":[52],"analysis":[54],"framework.":[55],"The":[56,100],"motion":[57],"patterns":[58],"of":[59,87,102,111],"moving":[60],"entities":[61],"provided":[62],"by":[63],"tracker":[65,96],"analyzed":[67],"in":[68,80,85,97],"order":[69],"recognize":[71],"current":[73],"situation;":[74],"causal":[75],"relationships":[76],"between":[77],"interacting":[78],"individuals":[79],"environment":[82],"formulated":[84],"terms":[86],"probabilistic":[88],"distributions":[89],"used":[92],"cue":[94],"closed":[98],"loop.":[99],"effectiveness":[101],"proposed":[104],"approach":[105],"demonstrated":[107],"for":[108],"variety":[110],"image":[112],"sequences.":[113]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
