{"id":"https://openalex.org/W3000402063","doi":"https://doi.org/10.1145/3338533.3366581","title":"Multiple Fisheye Camera Tracking via Real-Time Feature Clustering","display_name":"Multiple Fisheye Camera Tracking via Real-Time Feature Clustering","publication_year":2019,"publication_date":"2019-12-15","ids":{"openalex":"https://openalex.org/W3000402063","doi":"https://doi.org/10.1145/3338533.3366581","mag":"3000402063"},"language":"en","primary_location":{"id":"doi:10.1145/3338533.3366581","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3338533.3366581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Multimedia Asia","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/A5003682420","display_name":"Chon Hou Sio","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chon Hou Sio","raw_affiliation_strings":["National Chiao Tung University"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040050806","display_name":"Hong-Han Shuai","orcid":"https://orcid.org/0000-0003-2216-077X"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hong-Han Shuai","raw_affiliation_strings":["National Chiao Tung University"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101402074","display_name":"Wen-Huang Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Huang Cheng","raw_affiliation_strings":["National Chiao Tung University"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003682420"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.3037,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.62200498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9922000169754028,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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":0.8112670183181763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7647045850753784},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6478171348571777},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.641596257686615},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.626581072807312},{"id":"https://openalex.org/keywords/single-camera","display_name":"Single camera","score":0.523324728012085},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5226423740386963},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5194627642631531},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.5023503303527832},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4392939507961273},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4312971532344818},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08451098203659058},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07446900010108948}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8112670183181763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7647045850753784},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6478171348571777},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.641596257686615},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.626581072807312},{"id":"https://openalex.org/C3018868555","wikidata":"https://www.wikidata.org/wiki/Q2918907","display_name":"Single camera","level":2,"score":0.523324728012085},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5226423740386963},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5194627642631531},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.5023503303527832},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4392939507961273},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4312971532344818},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08451098203659058},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07446900010108948},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3338533.3366581","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3338533.3366581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Multimedia Asia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W71666767","https://openalex.org/W1531192956","https://openalex.org/W1673310716","https://openalex.org/W1932380673","https://openalex.org/W1987389530","https://openalex.org/W2023303779","https://openalex.org/W2055022211","https://openalex.org/W2100445176","https://openalex.org/W2124781496","https://openalex.org/W2137206230","https://openalex.org/W2166324937","https://openalex.org/W2171243491","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2291627510","https://openalex.org/W2401231614","https://openalex.org/W2473532709","https://openalex.org/W2475609615","https://openalex.org/W2520433280","https://openalex.org/W2565639579","https://openalex.org/W2603203130","https://openalex.org/W2739491435","https://openalex.org/W2779160359","https://openalex.org/W2796347433","https://openalex.org/W2884561390","https://openalex.org/W2901012461","https://openalex.org/W2953214814","https://openalex.org/W2963000559","https://openalex.org/W2963047834","https://openalex.org/W2963289251","https://openalex.org/W2963481014","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W2361805396","https://openalex.org/W2972254340","https://openalex.org/W1805912688","https://openalex.org/W2373973507","https://openalex.org/W2022231341","https://openalex.org/W4250902763","https://openalex.org/W4255476312","https://openalex.org/W2351154965","https://openalex.org/W3132103682","https://openalex.org/W4293523196"],"abstract_inverted_index":{"Recently,":[0],"Multi-Target":[1],"Multi-Camera":[2],"Tracking":[3,74],"(MTMC)":[4],"makes":[5],"a":[6,66,155],"breakthrough":[7],"due":[8],"to":[9,35,76,112,129],"the":[10,16,24,30,37,42,52,78,82,104,113,122,132,172,183,187,198],"release":[11],"of":[12,18,23,115,125,195],"DukeMTMC":[13],"and":[14,46,80,139,176],"show":[15,181],"feasibility":[17],"related":[19],"applications.":[20],"However,":[21],"most":[22],"existing":[25],"MTMC":[26],"methods":[27,32],"focus":[28],"on":[29,91,143,171,197],"batch":[31],"which":[33],"attempt":[34],"find":[36],"global":[38],"optimal":[39],"solution":[40],"from":[41,85],"entire":[43],"image":[44],"sequence":[45],"thus":[47],"are":[48],"not":[49],"suitable":[50],"for":[51],"real-time":[53],"applications,":[54],"e.g.,":[55],"customer":[56],"tracking":[57,69,95,158],"in":[58,193],"unmanned":[59,173],"stores.":[60],"In":[61],"this":[62,126,151],"paper,":[63],"we":[64,153],"propose":[65],"low-cost":[67],"online":[68],"algorithm,":[70],"namely,":[71],"Deep":[72,98],"Multi-Fisheye-Camera":[73],"(DeepMFCT)":[75],"identify":[77],"customers":[79],"locate":[81],"corresponding":[83],"positions":[84],"multiple":[86,117],"overlapping":[87,118],"fisheye":[88,119,140],"cameras.":[89],"Based":[90],"any":[92],"single":[93,108,156],"camera":[94,109,157,162],"algorithm":[96,102,159,185],"(e.g.,":[97],"SORT),":[99],"our":[100],"proposed":[101,184],"establishes":[103],"correlation":[105],"between":[106,136],"different":[107],"tracks.":[110],"Owing":[111],"lack":[114],"well-annotated":[116],"cameras":[120,138,141],"dataset,":[121],"main":[123],"challenge":[124],"issue":[127],"is":[128],"efficiently":[130],"overcome":[131],"domain":[133],"gap":[134],"problem":[135],"normal":[137],"based":[142,147],"existed":[144],"deep":[145],"learning":[146],"model.":[148],"To":[149],"address":[150],"challenge,":[152],"integrate":[154],"with":[160],"cross":[161],"clustering":[163],"including":[164],"location":[165],"information":[166],"that":[167,182],"achieves":[168],"great":[169],"performance":[170],"store":[174],"dataset":[175],"Hall":[177,199],"dataset.":[178,200],"Experimental":[179],"results":[180],"improves":[186],"baselines":[188],"by":[189],"at":[190],"least":[191],"7%":[192],"terms":[194],"MOTA":[196]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
