{"id":"https://openalex.org/W2181470215","doi":"https://doi.org/10.1109/icmlc.2015.7340944","title":"People gathering recognition based on dynamic texture detection","display_name":"People gathering recognition based on dynamic texture detection","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2181470215","doi":"https://doi.org/10.1109/icmlc.2015.7340944","mag":"2181470215"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2015.7340944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5110172544","display_name":"Wei-Lieh Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I50519452","display_name":"Lunghwa University of Science and Technology","ror":"https://ror.org/001y2wd07","country_code":"TW","type":"education","lineage":["https://openalex.org/I50519452"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Wei-Lieh Hsu","raw_affiliation_strings":["Department of Computer Information and Network Engineering, Lunghwa University of Science and Technology, Taoyuan County, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Information and Network Engineering, Lunghwa University of Science and Technology, Taoyuan County, Taiwan","institution_ids":["https://openalex.org/I50519452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026635059","display_name":"Ti-Hung Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I50519452","display_name":"Lunghwa University of Science and Technology","ror":"https://ror.org/001y2wd07","country_code":"TW","type":"education","lineage":["https://openalex.org/I50519452"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ti-Hung Chen","raw_affiliation_strings":["Department of Computer Information and Network Engineering, Lunghwa University of Science and Technology, Taoyuan County, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Information and Network Engineering, Lunghwa University of Science and Technology, Taoyuan County, Taiwan","institution_ids":["https://openalex.org/I50519452"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110172544"],"corresponding_institution_ids":["https://openalex.org/I50519452"],"apc_list":null,"apc_paid":null,"fwci":0.4314,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76681386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"334","last_page":"339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9789000153541565,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9789000153541565,"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/T10057","display_name":"Face and Expression Recognition","score":0.9560999870300293,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9164999723434448,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.73543381690979},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5851696729660034},{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.5641559362411499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5226918458938599},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5147771835327148},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5008580684661865},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.487925261259079},{"id":"https://openalex.org/keywords/repetition","display_name":"Repetition (rhetorical device)","score":0.47117525339126587},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4697604179382324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34458839893341064},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31950777769088745},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.27898862957954407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1531512439250946}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73543381690979},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5851696729660034},{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.5641559362411499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5226918458938599},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5147771835327148},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5008580684661865},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.487925261259079},{"id":"https://openalex.org/C2776141515","wikidata":"https://www.wikidata.org/wiki/Q1274479","display_name":"Repetition (rhetorical device)","level":2,"score":0.47117525339126587},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4697604179382324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34458839893341064},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31950777769088745},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.27898862957954407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1531512439250946},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2015.7340944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2088205507","https://openalex.org/W2158437588","https://openalex.org/W2912155302","https://openalex.org/W4210448011","https://openalex.org/W6683119752"],"related_works":["https://openalex.org/W4240200267","https://openalex.org/W1511510665","https://openalex.org/W1524661185","https://openalex.org/W2078823605","https://openalex.org/W2500095415","https://openalex.org/W2097922264","https://openalex.org/W2282342021","https://openalex.org/W4233026749","https://openalex.org/W4248106174","https://openalex.org/W1997780040"],"abstract_inverted_index":{"Gatherings":[0],"of":[1,12,57,98,131,159,203,232,234,255,274,289,301,307,316],"people":[2,13,221],"always":[3,152],"involve":[4],"a":[5,15,39,88,96,106,121,126,137,144,148,157,165,170,175,204,210,230,235,272,298,305,323],"common":[6],"goal,":[7],"and":[8,28,46,103,140,173,249,277,297,319],"when":[9,286,343],"the":[10,55,62,185,189,197,201,227,244,257,269,280,287,293,314,327],"majority":[11],"in":[14,18,95,156,188,229,247,261,292,304,336,346],"crowd":[16,77,180,205,236],"are":[17,53,64,206,214],"an":[19,238],"unstable":[20],"mood,":[21],"they":[22,213],"will":[23],"react":[24],"with":[25,101,129],"each":[26],"other,":[27],"this":[29,320],"could":[30],"easily":[31],"lead":[32],"to":[33,66,168,178,209,267,278,312,339,348],"unfortunate":[34],"accidents":[35],"or":[36,114,225],"confrontations.":[37],"As":[38],"result,":[40],"violent":[41],"attacks":[42],"may":[43,48,222],"take":[44],"place":[45],"facilities":[47],"be":[49,334],"destroyed.":[50],"Such":[51],"gatherings":[52],"often":[54,207],"beginning":[56],"security":[58],"problems,":[59],"about":[60],"which":[61],"police":[63],"eager":[65],"obtain":[67],"important":[68],"relevant":[69],"information.":[70],"Many":[71],"recent":[72],"studies":[73],"have":[74,252],"focused":[75],"on":[76],"scene":[78],"analysis,":[79],"while":[80],"texture":[81,119,150,194,241],"analysis":[82],"has":[83],"also":[84],"been":[85],"employed":[86],"as":[87,110,219,322],"feasible":[89],"method.":[90],"Dynamic":[91],"texturing":[92],"involves":[93],"patterns":[94,135,151],"sequence":[97,158,231],"visual":[99,160],"images":[100,233],"time-variation":[102],"repetition":[104,130],"within":[105,136,143,182],"spatial":[107,138,250],"domain,":[108,139],"such":[109],"smoke,":[111],"foliage,":[112],"crowds":[113,344],"traffic":[115],"conditions.":[116],"Basically,":[117],"dynamic":[118,240,245,281,317],"lacks":[120],"uniform":[122],"definition,":[123],"yet":[124],"exhibits":[125],"statistical":[127],"regularity,":[128],"seemingly":[132],"random":[133],"movement":[134],"exhibiting":[141],"stability":[142],"time":[145],"domain.":[146],"In":[147],"word,":[149],"maintain":[153,349],"similar":[154],"characteristics":[155],"images.":[161],"This":[162,331],"study":[163],"uses":[164],"fixed":[166],"camera":[167],"monitor":[169],"measured":[171],"area,":[172],"proposes":[174],"grid":[176,190,294],"model":[177,191,295],"describe":[179],"distribution":[181],"that":[183],"area;":[184],"status":[186],"value":[187],"shows":[192,237],"various":[193],"patterns,":[195],"reflecting":[196],"crowd's":[198],"motion.":[199],"While":[200],"activities":[202],"limited":[208],"specific":[211],"space,":[212],"not":[215],"stagnant":[216],"at":[217],"all,":[218],"some":[220,253],"occasionally":[223],"join":[224],"leave;":[226],"pattern":[228],"obvious":[239],"distribution.":[242],"Since":[243],"textures":[246],"temporal":[248],"domains":[251],"degree":[254,300],"similarity,":[256],"grey":[258],"relational":[259],"method":[260,332],"gray":[262],"system":[263],"theory":[264],"is":[265,310],"adopted":[266],"detect":[268],"similarity":[270,302],"among":[271],"series":[273,306],"test":[275],"images,":[276,308],"identify":[279,313],"texture.":[282],"Under":[283],"these":[284],"circumstances,":[285],"number":[288],"congested":[290],"cells":[291],"increases":[296],"high":[299],"exists":[303],"it":[309],"possible":[311],"occurrence":[315],"texture,":[318],"serves":[321],"basis":[324],"for":[325],"recognizing":[326],"`people":[328],"gathering'":[329],"phenomenon.":[330],"can":[333],"used":[335],"public":[337,350],"places":[338],"provide":[340],"useful":[341],"data":[342],"gather":[345],"order":[347],"safety.":[351]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
