{"id":"https://openalex.org/W2068671908","doi":"https://doi.org/10.1163/156855303769157027","title":"Statistical recognition of motion patterns","display_name":"Statistical recognition of motion patterns","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2068671908","doi":"https://doi.org/10.1163/156855303769157027","mag":"2068671908"},"language":"en","primary_location":{"id":"doi:10.1163/156855303769157027","is_oa":false,"landing_page_url":"https://doi.org/10.1163/156855303769157027","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-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/A5070147562","display_name":"J\u00f6rg Illmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J\u00f6rg Illmann","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110036387","display_name":"Boris Kluge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boris Kluge","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086198002","display_name":"Erwin Prassler","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erwin Prassler","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5051920714","display_name":"Matthias Strobel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthias Strobel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13943721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"7","first_page":"691","last_page":"707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9832000136375427,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9807999730110168,"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/computer-science","display_name":"Computer science","score":0.7576718330383301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7549748420715332},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6536679267883301},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.632967472076416},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5708157420158386},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5194141864776611},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.4916306138038635},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4906712770462036},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.46168842911720276},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.4392918348312378},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4353760778903961}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7576718330383301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7549748420715332},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6536679267883301},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.632967472076416},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5708157420158386},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5194141864776611},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.4916306138038635},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4906712770462036},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.46168842911720276},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.4392918348312378},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4353760778903961},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1163/156855303769157027","is_oa":false,"landing_page_url":"https://doi.org/10.1163/156855303769157027","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.14.3892","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.3892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.morpha.de/php_d/../download/publications/FAW_IROS2002_IllmannKlugePrassler.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2026140901","https://openalex.org/W2111918405","https://openalex.org/W4213060235"],"related_works":["https://openalex.org/W2164820155","https://openalex.org/W153860287","https://openalex.org/W154911882","https://openalex.org/W2408770338","https://openalex.org/W3006457076","https://openalex.org/W2136340507","https://openalex.org/W2202123428","https://openalex.org/W3202632552","https://openalex.org/W2897317144","https://openalex.org/W3014540466"],"abstract_inverted_index":{"One":[0],"key":[1],"prerequisite":[2],"for":[3,130,159,203],"a":[4,50,92,96,126,201],"machine":[5],"to":[6,14,21,44,109,174],"interact":[7],"intelligently":[8],"with":[9,91,107],"people":[10,66,161],"is":[11,95,124],"its":[12],"ability":[13],"recognize":[15],"humans":[16],"as":[17,147,200],"interaction":[18,151],"partners,":[19],"and":[20,25,28,64,73,75,82,119,135,152,166,169,189],"understand":[22],"their":[23,171],"behaviors":[24,40],"the":[26,60,115,122,137,204],"intentions":[27],"plans":[29],"behind":[30],"them.":[31],"In":[32],"this":[33],"paper":[34],"we":[35,58],"are":[36,42,182,190],"particularly":[37],"interested":[38],"in":[39,67,71,87,144,192],"which":[41,128],"related":[43],"motion,":[45],"e.g.":[46],"intentionally":[47],"moving":[48,93],"towards":[49],"goal":[51],"or":[52],"obstructing":[53],"somebody's":[54],"path.":[55],"More":[56],"specifically,":[57],"address":[59],"problem":[61,127],"of":[62,84,114,121,139,206],"detecting":[63],"tracking":[65,83,160,177],"natural":[68,88],"dynamic":[69],"environments":[70,90],"realtime,":[72],"extracting":[74],"classifying":[76],"typical":[77,176,207],"motion":[78,120,140,180,208],"patterns.":[79],"Robust":[80],"detection":[81],"nonrigid":[85],"objects":[86],"changing":[89,110],"observer":[94,123],"challenging":[97],"problem.":[98],"Although":[99],"various":[100],"sophisticated":[101],"approaches":[102],"have":[103],"been":[104],"presented,":[105],"robustness":[106],"respect":[108],"light":[111],"conditions,":[112],"non-rigidness":[113],"tracked":[116],"objects,":[117],"occlusion":[118],"still":[125],"needs":[129],"an":[131,157],"effective":[132],"solution.":[133],"Recognizing":[134],"understanding":[136],"intention":[138],"would":[141],"leverage":[142],"applications":[143],"areas":[145],"such":[146],"smart":[148],"environments,":[149],"human-machine":[150],"video":[153],"surveillance.":[154],"We":[155],"present":[156],"approach":[158],"by":[162,210],"integrating":[163],"range":[164],"information":[165],"visual":[167],"information,":[168],"using":[170],"complimentary":[172],"strengths":[173],"overcome":[175],"problems.":[178],"Individual":[179],"trajectories":[181],"extracted":[183],"from":[184],"these":[185],"fused":[186],"sensor":[187],"data":[188],"condensed":[191],"compact":[193],"statistical":[194],"spatiotemporal":[195],"models.":[196],"These":[197],"models":[198],"serve":[199],"basis":[202],"extraction":[205],"patterns":[209],"unsupervised":[211],"learning.":[212]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}