{"id":"https://openalex.org/W7096201208","doi":null,"title":"Evaluation of USC Human Tracking System for","display_name":"Evaluation of USC Human Tracking System for","publication_year":null,"publication_date":null,"ids":{"openalex":"https://openalex.org/W7096201208"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.104.9692","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.104.9692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://iris.usc.edu/Outlines/papers/2006/wu-song-singh-nevatia-clear2.pdf","raw_type":"text"},"parent_works":[],"lineage":["https://openalex.org/W7096201208"],"child_works_count":0,"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":null,"display_name":"Surveillance Videos","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Surveillance Videos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Bo Wu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Xuefeng Song","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuefeng Song","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Vivek Kumar Singh","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vivek Kumar Singh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5080385311","display_name":"Ram Nevatia","orcid":"https://orcid.org/0009-0003-8079-4209","observed_orcids":["https://orcid.org/0009-0003-8079-4209"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ram Nevatia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/human-tracking","display_name":"human tracking","score":0.8389999866485596},{"id":"https://openalex.org/keywords/surveillance-video","display_name":"surveillance video","score":0.9229999780654907},{"id":"https://openalex.org/keywords/adaptive-background-modeling","display_name":"adaptive background modeling","score":0.7739999890327454},{"id":"https://openalex.org/keywords/multi-view-detection","display_name":"multi-view detection","score":0.7839999794960022},{"id":"https://openalex.org/keywords/blob-tracking","display_name":"blob tracking","score":0.6330000162124634},{"id":"https://openalex.org/keywords/3d-trajectory-estimation","display_name":"3D trajectory estimation","score":0.6600000262260437},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"pedestrian detection","score":0.5450000166893005}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8601999878883362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7986999750137329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.708899974822998},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.642799973487854},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5558000206947327},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5209000110626221},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4984000027179718},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.45419999957084656},{"id":"https://openalex.org/C88764893","wikidata":"https://www.wikidata.org/wiki/Q1547722","display_name":"Ground plane","level":3,"score":0.40290001034736633},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.38449999690055847},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.38260000944137573},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.3732999861240387},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.34630000591278076},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.33410000801086426},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3303999900817871},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3222000002861023},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.304500013589859},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.2922999858856201},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.26179999113082886}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.104.9692","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.104.9692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://iris.usc.edu/Outlines/papers/2006/wu-song-singh-nevatia-clear2.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1532054452","https://openalex.org/W7100795712","https://openalex.org/W1604148826","https://openalex.org/W2570762287","https://openalex.org/W1496439735","https://openalex.org/W7096977711","https://openalex.org/W2323326192","https://openalex.org/W1995257432","https://openalex.org/W2129592971","https://openalex.org/W7095906003"],"abstract_inverted_index":{"Abstract.":[0],"The":[1,39,49,118,138,159,179,218],"evaluation":[2,111,122,164],"results":[3],"of":[4,105,132,196,221,247],"a":[5,60,70,143,148,157],"system":[6,30],"for":[7,162],"tracking":[8,55,110],"humans":[9,35,134,238],"in":[10,36,120,135,274],"surveillance":[11,108,136],"videos":[12,139],"are":[13,17,42,80,91,98,140],"presented.":[14],"Moving":[15],"blobs":[16],"detected":[18,40],"based":[19,26,51],"on":[20,67,100],"adaptive":[21],"background":[22],"modeling.":[23],"A":[24],"shape":[25],"multi-view":[27],"human":[28,47,52,109],"detection":[29,53,246],"is":[31,56,124,182,189,211,250,255],"used":[32,92],"to":[33,44,63,93,125,215,270],"find":[34],"moving":[37,233],"regions.":[38],"responses":[41],"associated":[43],"infer":[45],"the":[46,65,74,77,83,95,101,106,127,152,163,186,227,231,243,253,280],"trajectories.":[48],"shaped":[50],"and":[54,87,115,130,230,252,263,283],"further":[57],"enhanced":[58],"by":[59,257],"blob":[61],"tracker":[62],"boost":[64],"performance":[66],"persons":[68],"at":[69,176,242],"long":[71],"distance":[72],"from":[73,172],"camera.":[75],"Finally":[76],"2D":[78,128],"trajectories":[79],"projected":[81],"onto":[82],"3D":[84,89],"ground":[85,153],"plane":[86],"their":[88],"speeds":[90],"verified":[94],"hypotheses.":[96],"Results":[97],"given":[99,244],"video":[102],"test":[103,160],"set":[104,161],"VACE":[107],"task.":[112],"1":[113,201],"Task":[114],"Data":[116],"Set":[117],"task":[119,210],"this":[121],"exercise":[123],"track":[126],"locations":[129],"regions":[131],"multiple":[133],"videos.":[137],"captured":[141,171],"with":[142,226],"single":[144],"static":[145],"camera":[146],"mounted":[147],"few":[149],"meters":[150],"above":[151],"looking":[154],"down":[155],"towards":[156],"street.":[158],"contains":[165],"50":[166],"sequences,":[167],"overall":[168],"121,404":[169],"frames,":[170],"two":[173],"different":[174],"sites":[175],"various":[177],"times.":[178],"frame":[180],"size":[181],"720":[183],"\u00d7":[184],"480;":[185],"sampling":[187],"rate":[188],"30":[190],"FPS.":[191],"Fig.1":[192],"shows":[193,279],"one":[194],"shot":[195],"each":[197],"site.":[198],"(a)":[199],"site":[200,203],"(b)":[202],"2":[204,288],"Fig.":[205],"1.":[206],"Sample":[207],"frames.":[208],"This":[209],"made":[212],"complex":[213],"due":[214],"many":[216,258],"reasons.":[217],"image":[219],"appearance":[220],"pedestrians":[222],"changes":[223],"not":[224,236],"only":[225,237],"changing":[228],"viewpoints":[229],"clothing,":[232],"objects":[234],"include":[235],"but":[239],"also":[240],"vehicles,":[241],"resolution,":[245],"face":[248],"pattern":[249],"infeasible":[251],"scene":[254,259],"cluttered":[256],"objects,":[260],"e.g.":[261],"trees":[262],"traffic":[264],"signs.":[265],"We":[266],"describe":[267],"our":[268],"method":[269],"overcome":[271],"these":[272],"difficulties":[273],"Section":[275,277,284],"2;":[276],"3":[278],"experimental":[281],"results;":[282],"4":[285],"provides":[286],"conclusion.":[287]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2025-10-27T00:00:00"}
