{"id":"https://openalex.org/W2080371948","doi":"https://doi.org/10.1109/avss.2014.6918668","title":"Nonparametric state machine with multiple features for abnormal object classification","display_name":"Nonparametric state machine with multiple features for abnormal object classification","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2080371948","doi":"https://doi.org/10.1109/avss.2014.6918668","mag":"2080371948"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2014.6918668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2014.6918668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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/A5088953139","display_name":"Jiman Kim","orcid":"https://orcid.org/0000-0002-9929-5499"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiman Kim","raw_affiliation_strings":["Pohang University of Science and Technology, Pohang, Gyeongbuk","Pohang University of Science and Technology San 31, Hyoja-dong, Nam-gu, Pohang, Gyeongbuk 790-784"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology, Pohang, Gyeongbuk","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Pohang University of Science and Technology San 31, Hyoja-dong, Nam-gu, Pohang, Gyeongbuk 790-784","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055303356","display_name":"Bong-Nam Kang","orcid":"https://orcid.org/0000-0002-6818-7532"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bongnam Kang","raw_affiliation_strings":["Pohang University of Science and Technology, Pohang, Gyeongbuk","Pohang University of Science and Technology San 31, Hyoja-dong, Nam-gu, Pohang, Gyeongbuk 790-784"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology, Pohang, Gyeongbuk","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Pohang University of Science and Technology San 31, Hyoja-dong, Nam-gu, Pohang, Gyeongbuk 790-784","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"199","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"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":0.9986000061035156,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9894000291824341,"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"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.8212863802909851},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7570644021034241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7385070323944092},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.717056930065155},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7119312882423401},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5711000561714172},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5642778873443604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5613923072814941},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5253902077674866},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5056166648864746},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.459757536649704},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4326738119125366},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35145604610443115},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32221099734306335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12291949987411499},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11135894060134888},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07068544626235962}],"concepts":[{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.8212863802909851},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7570644021034241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7385070323944092},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.717056930065155},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7119312882423401},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5711000561714172},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5642778873443604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5613923072814941},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5253902077674866},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5056166648864746},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.459757536649704},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4326738119125366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35145604610443115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32221099734306335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12291949987411499},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11135894060134888},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07068544626235962},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss.2014.6918668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2014.6918668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W282673735","https://openalex.org/W289131163","https://openalex.org/W2000714061","https://openalex.org/W2043830362","https://openalex.org/W2056586066","https://openalex.org/W2059856676","https://openalex.org/W2081947144","https://openalex.org/W2098809774","https://openalex.org/W2105750863","https://openalex.org/W2128881642","https://openalex.org/W2135714959","https://openalex.org/W2140982548","https://openalex.org/W2167613050","https://openalex.org/W2506598342","https://openalex.org/W6610214669","https://openalex.org/W6610321049","https://openalex.org/W6675994258"],"related_works":["https://openalex.org/W4243114048","https://openalex.org/W2529605301","https://openalex.org/W4237896776","https://openalex.org/W4231665652","https://openalex.org/W1837630526","https://openalex.org/W2000242494","https://openalex.org/W2335589441","https://openalex.org/W4296826658","https://openalex.org/W1979697693","https://openalex.org/W4387272257"],"abstract_inverted_index":{"Abandoned":[0],"object":[1,4],"and":[2,59],"removed":[3],"are":[5],"important":[6],"abnormal":[7],"objects":[8],"in":[9,77],"visual":[10],"surveillance":[11],"area":[12],"to":[13,87],"predict":[14],"the":[15,46,78,81,91],"crimes":[16],"such":[17,52],"as":[18,53],"explosion":[19],"or":[20],"theft":[21],"event.":[22],"In":[23],"real":[24],"situations,":[25],"most":[26],"of":[27,41,49,72],"existing":[28],"methods":[29],"using":[30],"CCD":[31],"camera":[32],"show":[33],"inconsistent":[34],"performance":[35],"because":[36,90],"they":[37],"use":[38],"a":[39,64],"lot":[40],"threshold":[42],"values":[43],"depending":[44],"on":[45],"environmental":[47],"conditions":[48],"target":[50],"scene":[51],"illumination":[54],"change,":[55],"high":[56],"traffic":[57],"volume":[58],"complex":[60],"background.":[61],"We":[62],"propose":[63],"nonparametric":[65],"state":[66,92],"machine":[67],"with":[68],"hierarchical":[69],"structure":[70],"consisting":[71],"three":[73],"layers.":[74],"As":[75],"shown":[76],"experimental":[79],"results,":[80],"proposed":[82],"method":[83],"can":[84],"be":[85],"applied":[86],"general":[88],"situations":[89],"transitions":[93],"is":[94],"performed":[95],"by":[96],"trained":[97],"SVM":[98],"classifiers.":[99]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}