{"id":"https://openalex.org/W2092814260","doi":"https://doi.org/10.1109/icip.2005.1530128","title":"Video based online behavior detection using probabilistic multi stream fusion","display_name":"Video based online behavior detection using probabilistic multi stream fusion","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2092814260","doi":"https://doi.org/10.1109/icip.2005.1530128","mag":"2092814260"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2005.1530128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","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/A5088855123","display_name":"Dejan Arsi\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"D. Arsic","raw_affiliation_strings":["Faculty of Electrical Engineering, Institute for Human-Machine-Communication Technische Universit\u00e4t Mnchen, M\u00fcnchen, Germany","Technische Universitat Munchen, Munchen, Bayern, DE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Institute for Human-Machine-Communication Technische Universit\u00e4t Mnchen, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technische Universitat Munchen, Munchen, Bayern, DE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083340612","display_name":"W. Bjorn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"W. Bjorn","raw_affiliation_strings":["Inst. for Human-Machine-Commun., Technische Univ. Munchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inst. for Human-Machine-Commun., Technische Univ. Munchen, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043060302","display_name":"Bj\u00f6rn W. Schuller","orcid":"https://orcid.org/0000-0002-6478-8699"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"B. Schuller","raw_affiliation_strings":["Faculty of Electrical Engineering, Institute for Human-Machine-Communication Technische Universit\u00e4t Mnchen, M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Institute for Human-Machine-Communication Technische Universit\u00e4t Mnchen, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039092855","display_name":"Gerhard Rigoll","orcid":"https://orcid.org/0000-0003-1096-1596"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"G. Rigoll","raw_affiliation_strings":["Faculty of Electrical Engineering, Institute for Human-Machine-Communication Technische Universit\u00e4t Mnchen, M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Institute for Human-Machine-Communication Technische Universit\u00e4t Mnchen, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7698,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.70272466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"II","last_page":"606"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computer-science","display_name":"Computer science","score":0.822097897529602},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6317609548568726},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6272357106208801},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6076647639274597},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5998246669769287},{"id":"https://openalex.org/keywords/crew","display_name":"Crew","score":0.5378721356391907},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5298551917076111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5045875310897827},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5009887218475342},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10102343559265137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.822097897529602},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6317609548568726},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6272357106208801},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6076647639274597},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5998246669769287},{"id":"https://openalex.org/C2780179797","wikidata":"https://www.wikidata.org/wiki/Q345844","display_name":"Crew","level":2,"score":0.5378721356391907},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5298551917076111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5045875310897827},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5009887218475342},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10102343559265137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2005.1530128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.364.4028","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.4028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mmk.ei.tum.de/publ/pdf/05/05ars2.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320333067","display_name":"Sixth Framework Programme","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W198212340","https://openalex.org/W854322902","https://openalex.org/W2099599499","https://openalex.org/W2105736779","https://openalex.org/W2111045031","https://openalex.org/W2119394710","https://openalex.org/W2140801466","https://openalex.org/W2161406034","https://openalex.org/W2217896605","https://openalex.org/W2612943990","https://openalex.org/W4249735516","https://openalex.org/W6608200826","https://openalex.org/W6677618913"],"related_works":["https://openalex.org/W1230495041","https://openalex.org/W2981238890","https://openalex.org/W2130466874","https://openalex.org/W3201287350","https://openalex.org/W3204452099","https://openalex.org/W258179848","https://openalex.org/W2395067109","https://openalex.org/W1784025083","https://openalex.org/W2885490362","https://openalex.org/W1734881440"],"abstract_inverted_index":{"In":[0],"the":[1,38,60,76,87,105],"present":[2],"treatise,":[3],"we":[4],"propose":[5],"an":[6],"approach":[7],"for":[8,37,71],"a":[9,24,82,118],"highly":[10,97],"configurable":[11],"image":[12],"based":[13],"online":[14],"person":[15],"behaviour":[16],"monitoring":[17],"system.":[18],"The":[19],"particular":[20],"application":[21],"scenario":[22],"is":[23,33],"crew":[25],"supporting":[26],"multi-stream":[27],"on-board":[28],"threat":[29],"detection":[30],"system,":[31],"which":[32],"getting":[34],"more":[35],"desirable":[36],"use":[39],"in":[40,49,75,92],"public":[41],"transport.":[42],"For":[43],"such":[44],"frameworks,":[45],"to":[46,56,94],"work":[47],"robustly":[48],"mostly":[50],"unconstrained":[51],"environments,":[52],"many":[53],"subsystems":[54],"have":[55],"be":[57],"employed.":[58],"Although":[59],"research":[61],"field":[62],"of":[63,107],"pattern":[64],"recognition":[65],"has":[66],"brought":[67],"up":[68],"reliable":[69],"approaches":[70],"several":[72,100,108],"involved":[73],"subtasks":[74],"last":[77],"decade,":[78],"there":[79],"often":[80],"exists":[81],"gap":[83],"between":[84],"reliability":[85],"and":[86],"needed":[88],"computational":[89],"efforts.":[90],"However":[91],"order,":[93],"accomplish":[95],"this":[96],"demanding":[98],"task,":[99],"straight":[101],"forward":[102],"technologies,":[103],"here":[104],"output":[106],"so-called":[109],"weak":[110],"classifiers":[111],"using":[112],"low-level":[113],"features":[114],"are":[115],"fused":[116],"by":[117],"sophisticated":[119],"Bayesian":[120],"network.":[121]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
