{"id":"https://openalex.org/W1534188925","doi":null,"title":"Visual human tracking and group activity analysis: a video mining system for retail marketing","display_name":"Visual human tracking and group activity analysis: a video mining system for retail marketing","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W1534188925","mag":"1534188925"},"language":"en","primary_location":{"id":"mag:1534188925","doi":null,"is_oa":false,"landing_page_url":"https://scholarworks.iu.edu/dspace/handle/2022/7811?show=full","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5028597188","display_name":"Mihran T\u00fcceryan","orcid":"https://orcid.org/0000-0003-3828-6123","observed_orcids":["https://orcid.org/0000-0003-3828-6123"]},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihran T\u00fcceryan","raw_affiliation_strings":["\u2021Indiana University"],"raw_orcid":"https://orcid.org/0000-0003-3828-6123","affiliations":[{"raw_affiliation_string":"\u2021Indiana University","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013806254","display_name":"Alex Leykin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Leykin","raw_affiliation_strings":["\u2021Indiana University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u2021Indiana University","institution_ids":["https://openalex.org/I592451"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I592451"],"apc_list":null,"apc_paid":null,"fwci":1.3371,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82787185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"116","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9945999979972839,"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":0.9945999979972839,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.001500000013038516,"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/human-tracking","display_name":"human tracking","score":0.8040000200271606},{"id":"https://openalex.org/keywords/group-activity-recognition","display_name":"group activity recognition","score":0.7820000052452087},{"id":"https://openalex.org/keywords/retail-marketing","display_name":"retail marketing","score":0.7099999785423279},{"id":"https://openalex.org/keywords/consumer-behavior-analysis","display_name":"customer behavior analysis","score":0.8899999856948853},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"pedestrian detection","score":0.9330000281333923},{"id":"https://openalex.org/keywords/head-detection","display_name":"head detection","score":0.9929999709129333},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"swarm intelligence","score":0.5099999904632568},{"id":"https://openalex.org/keywords/group-clustering","display_name":"group clustering","score":0.5860000252723694},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"fuzzy clustering","score":0.6370000243186951},{"id":"https://openalex.org/keywords/video-mining","display_name":"video mining","score":0.6480000019073486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7147420048713684},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6771448850631714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6378508806228638},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6196578741073608},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5688230991363525},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.5466563701629639},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4754583239555359},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.47256702184677124},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4245694875717163},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.41489073634147644},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.4102146625518799},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.3238884210586548},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.2038554847240448},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:1534188925","doi":null,"is_oa":false,"landing_page_url":"https://scholarworks.iu.edu/dspace/handle/2022/7811?show=full","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1508960934","https://openalex.org/W1524095503","https://openalex.org/W1539123096","https://openalex.org/W1541943061","https://openalex.org/W1556691776","https://openalex.org/W1561497350","https://openalex.org/W1592011777","https://openalex.org/W1978799052","https://openalex.org/W2021057537","https://openalex.org/W2029436146","https://openalex.org/W2032514084","https://openalex.org/W2033819227","https://openalex.org/W2051224630","https://openalex.org/W2076078388","https://openalex.org/W2096343094","https://openalex.org/W2097512404","https://openalex.org/W2099913338","https://openalex.org/W2101910899","https://openalex.org/W2102625004","https://openalex.org/W2106706098","https://openalex.org/W2108207895","https://openalex.org/W2108308566","https://openalex.org/W2110874157","https://openalex.org/W2112324405","https://openalex.org/W2113076747","https://openalex.org/W2114470467","https://openalex.org/W2114701396","https://openalex.org/W2115196924","https://openalex.org/W2115213191","https://openalex.org/W2117082318","https://openalex.org/W2119350939","https://openalex.org/W2121005842","https://openalex.org/W2121969434","https://openalex.org/W2127163275","https://openalex.org/W2128940512","https://openalex.org/W2129230821","https://openalex.org/W2129938674","https://openalex.org/W2132103241","https://openalex.org/W2134266767","https://openalex.org/W2140235142","https://openalex.org/W2143373691","https://openalex.org/W2145790759","https://openalex.org/W2150312211","https://openalex.org/W2151103935","https://openalex.org/W2152309805","https://openalex.org/W2155929751","https://openalex.org/W2157031604","https://openalex.org/W2160646681","https://openalex.org/W2161406034","https://openalex.org/W2167254323","https://openalex.org/W2169536486","https://openalex.org/W2543580944","https://openalex.org/W3094885158","https://openalex.org/W3124770945","https://openalex.org/W4239617953"],"related_works":["https://openalex.org/W2269732858","https://openalex.org/W7100348131","https://openalex.org/W1986523366","https://openalex.org/W2136474492","https://openalex.org/W1974280301","https://openalex.org/W3025182860","https://openalex.org/W6922550422","https://openalex.org/W2406107541","https://openalex.org/W2295327887","https://openalex.org/W7098812827"],"abstract_inverted_index":{"In":[0],"this":[1,52],"thesis":[2],"we":[3,96,125,227],"present":[4,97],"a":[5,65,88,98,105,110,138,145,156,195,202,229,264,273],"system":[6,99,199],"for":[7,40,129,159],"automatic":[8],"human":[9,33,151,174,196,367],"tracking":[10,124,143,187,198,327],"and":[11,42,108,137,183,220,306],"activity":[12,113,232,353],"recognition":[13,354],"from":[14,56,120,238,349],"video":[15],"sequences.":[16],"The":[17],"problem":[18],"of":[19,22,30,51,60,76,112,133,140,166,172,188,266,317,325,335],"automated":[20],"analysis":[21,114,324],"visual":[23],"information":[24,86],"in":[25,62,87,104,247,256,277,283,307],"order":[26],"to":[27,45,72,81,211,261,271,291,301,314],"derive":[28,272],"descriptors":[29],"high":[31],"level":[32],"activities":[34,319],"has":[35],"intrigued":[36],"computer":[37],"vision":[38],"community":[39],"decades":[41],"is":[43,54,153,177,191],"considered":[44],"be":[46,68],"largely":[47],"unsolved.":[48],"A":[49],"part":[50],"interest":[53],"derived":[55],"the":[57,82,118,121,134,141,164,167,173,209,222,225,236,248,257,284,287,292,308,326,333,336,347,350,352,366],"vast":[58],"range":[59],"applications":[61],"which":[63,162,269],"such":[64],"solution":[66],"may":[67],"useful.":[69],"We":[70],"attempt":[71],"find":[73],"efficient":[74],"formulations":[75],"these":[77,94],"tasks":[78,115],"as":[79,144,201,216,253,363],"applied":[80],"extracting":[83],"customer":[84,189],"behavior":[85],"retail":[89,106],"marketing":[90],"context.":[91],"Based":[92],"on":[93,117,346],"formulations,":[95],"that":[100,289],"visually":[101],"tracks":[102],"customers":[103],"store":[107],"performs":[109],"number":[111],"based":[116,234,345],"output":[119,348],"tracker.":[122],"\r\nIn":[123],"introduce":[126],"new":[127],"techniques":[128],"pedestrian":[130],"detection,":[131,161,362],"initialization":[132,171],"body":[135,175,197],"model":[136,176,213],"formulation":[139,233],"temporal":[142],"global":[146],"trans-dimensional":[147],"optimization":[148],"problem.":[149],"Initial":[150],"detection":[152],"addressed":[154,178],"by":[155,179,193,297,365],"novel":[157],"method":[158],"head":[160],"incorporates":[163],"knowledge":[165],"camera":[168],"projection":[169],"model.The":[170],"newly":[180],"developed":[181,228],"shape":[182],"appearance":[184],"descriptors.":[185],"Temporal":[186],"trajectories":[190],"performed":[192],"employing":[194],"designed":[200],"Bayesian":[203],"jump-diffusion":[204],"filter.":[205],"This":[206,259,281],"approach":[207],"demonstrates":[208],"ability":[210],"overcome":[212],"dimensionality":[214],"ambiguities":[215],"people":[217],"are":[218,250,295,312],"leaving":[219],"entering":[221],"scene.":[223],"\r\nFollowing":[224],"tracking,":[226],"two-stage":[230],"group":[231,294,318,361],"upon":[235],"ideas":[237],"swarming":[239],"research.":[240],"For":[241],"modeling":[242],"purposes,":[243],"all":[244],"moving":[245],"actors":[246],"scene":[249],"viewed":[251],"here":[252],"simplistic":[254],"agents":[255],"swarm.":[258],"allows":[260],"effectively":[262],"define":[263],"set":[265],"inter-agent":[267],"interactions,":[268],"combine":[270],"distance":[274],"metric":[275],"used":[276,340],"further":[278],"swarm":[279],"clustering.":[280],"way,":[282],"first":[285],"stage":[286,310],"shoppers":[288],"belong":[290],"same":[293],"identified":[296],"deterministically":[298],"clustering":[299],"bodies":[300],"detect":[302],"short":[303],"term":[304],"events":[305,311],"second":[309],"post-processed":[313],"form":[315],"clusters":[316],"with":[320],"fuzzy":[321],"memberships.":[322],"Quantitative":[323],"subsystem":[328],"shows":[329],"an":[330],"improvement":[331],"over":[332,357],"state":[334],"art":[337],"methods,":[338],"if":[339],"under":[341],"similar":[342],"conditions.":[343],"Finally,":[344],"tracker,":[351],"procedure":[355],"achieves":[356],"80%":[358],"correct":[359],"shopper":[360],"validated":[364],"generated":[368],"ground":[369],"truth":[370],"results.":[371]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-01T08:54:57.152042","created_date":"2016-06-24T00:00:00"}
