{"id":"https://openalex.org/W2201371604","doi":"https://doi.org/10.1109/tase.2015.2426712","title":"Integration of Modified Inverse Observation Model and Multiple Hypothesis Tracking for Detecting and Tracking Humans","display_name":"Integration of Modified Inverse Observation Model and Multiple Hypothesis Tracking for Detecting and Tracking Humans","publication_year":2015,"publication_date":"2015-05-15","ids":{"openalex":"https://openalex.org/W2201371604","doi":"https://doi.org/10.1109/tase.2015.2426712","mag":"2201371604"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2015.2426712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2015.2426712","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","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/A5025042996","display_name":"Feng-Min Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Feng-Min Chang","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084614095","display_name":"Feng\u2010Li Lian","orcid":"https://orcid.org/0000-0002-1260-4894"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Feng-Li Lian","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102022148","display_name":"Chih\u2010Chung Chou","orcid":"https://orcid.org/0000-0002-0044-8898"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Chung Chou","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025042996"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.5996,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75485033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"13","issue":"1","first_page":"160","last_page":"170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"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":0.9987000226974487,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.698023796081543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49226871132850647},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.4814712107181549},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4660338759422302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46266818046569824},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4316134452819824},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4260631799697876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23748233914375305},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.22537383437156677},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08493173122406006}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.698023796081543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49226871132850647},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.4814712107181549},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4660338759422302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46266818046569824},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4316134452819824},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4260631799697876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23748233914375305},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.22537383437156677},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08493173122406006},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2015.2426712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2015.2426712","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W615858577","https://openalex.org/W1545960908","https://openalex.org/W1665207485","https://openalex.org/W1977669872","https://openalex.org/W1977849867","https://openalex.org/W1996762208","https://openalex.org/W2003421285","https://openalex.org/W2004630928","https://openalex.org/W2011087880","https://openalex.org/W2030370175","https://openalex.org/W2037399936","https://openalex.org/W2061730113","https://openalex.org/W2066832919","https://openalex.org/W2078110406","https://openalex.org/W2093466771","https://openalex.org/W2108874030","https://openalex.org/W2112770013","https://openalex.org/W2125127046","https://openalex.org/W2127923214","https://openalex.org/W2129078811","https://openalex.org/W2136760085","https://openalex.org/W2140466245","https://openalex.org/W2141548131","https://openalex.org/W2148613368","https://openalex.org/W2151618809","https://openalex.org/W2294153305","https://openalex.org/W2336416123","https://openalex.org/W6632690982","https://openalex.org/W6680571935","https://openalex.org/W6681028716"],"related_works":["https://openalex.org/W2394134009","https://openalex.org/W2158788032","https://openalex.org/W1971984615","https://openalex.org/W2806679586","https://openalex.org/W2046099857","https://openalex.org/W4315836311","https://openalex.org/W2393252924","https://openalex.org/W2380612839","https://openalex.org/W1567854708","https://openalex.org/W4235384131"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,32],"complete":[4],"perception":[5],"system":[6],"of":[7,88,98,107],"moving":[8,27,65],"point":[9],"detection":[10,44],"and":[11,86],"target":[12,17,62],"tracking":[13,71,91],"for":[14,58,82],"robustly":[15],"following":[16],"humans":[18],"in":[19],"an":[20],"unknown":[21],"indoor":[22],"dynamic":[23],"environment.":[24],"To":[25],"detect":[26],"points":[28],"under":[29],"grid-based":[30],"formulation,":[31],"modified":[33],"inverse":[34],"observation":[35],"model":[36],"is":[37,73],"proposed":[38,51,109],"to":[39,52,75,103],"overcome":[40],"several":[41],"frequently":[42],"happened":[43],"limitations.":[45],"Next,":[46],"related":[47],"human-extraction":[48],"techniques":[49],"are":[50,94],"filter":[53],"out":[54],"less":[55],"possible":[56],"clusters":[57],"detecting":[59],"potential":[60],"human":[61,90],"from":[63],"these":[64],"points.":[66],"Finally,":[67],"the":[68,78,84,89,105,108],"multiple":[69],"hypothesis":[70],"algorithm":[72,110],"implemented":[74],"deal":[76],"with":[77],"data":[79],"association":[80],"problem":[81],"enhancing":[83],"reliability":[85],"robustness":[87],"when":[92],"measurements":[93],"noisy.":[95],"Different":[96],"levels":[97],"experiments":[99],"have":[100],"been":[101],"performed":[102],"evaluate":[104],"effectiveness":[106],"framework.":[111]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}