{"id":"https://openalex.org/W2132174304","doi":"https://doi.org/10.1109/cvprw.2011.5981794","title":"Recognizing human-vehicle interactions from aerial video without training","display_name":"Recognizing human-vehicle interactions from aerial video without training","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2132174304","doi":"https://doi.org/10.1109/cvprw.2011.5981794","mag":"2132174304"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2011.5981794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2011.5981794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011 WORKSHOPS","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/A5000134514","display_name":"Jong Taek Lee","orcid":"https://orcid.org/0000-0002-6962-3148"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jong Taek Lee","raw_affiliation_strings":["Computer & Vision Research Center, Department of ECE, University of Texas, Austin, USA","Computer & Vision Research Center\\\\Department of ECE, The University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer & Vision Research Center, Department of ECE, University of Texas, Austin, USA","institution_ids":[]},{"raw_affiliation_string":"Computer & Vision Research Center\\\\Department of ECE, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052342233","display_name":"Chia-Chih Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chia-Chih Chen","raw_affiliation_strings":["Computer & Vision Research Center, Department of ECE, University of Texas, Austin, USA","Computer & Vision Research Center\\\\Department of ECE, The University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer & Vision Research Center, Department of ECE, University of Texas, Austin, USA","institution_ids":[]},{"raw_affiliation_string":"Computer & Vision Research Center\\\\Department of ECE, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111924253","display_name":"J.K. Aggarwal","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. K. Aggarwal","raw_affiliation_strings":["Computer & Vision Research Center, Department of ECE, University of Texas, Austin, USA","Computer & Vision Research Center\\\\Department of ECE, The University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer & Vision Research Center, Department of ECE, University of Texas, Austin, USA","institution_ids":[]},{"raw_affiliation_string":"Computer & Vision Research Center\\\\Department of ECE, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"53","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8236340284347534},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7337114810943604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6934873461723328},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6766276359558105},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5310578346252441},{"id":"https://openalex.org/keywords/vehicle-tracking-system","display_name":"Vehicle tracking system","score":0.4929797649383545},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.4921507239341736},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.477475643157959},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.43304935097694397},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4271129369735718},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.15493705868721008}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8236340284347534},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7337114810943604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6934873461723328},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6766276359558105},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5310578346252441},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.4929797649383545},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.4921507239341736},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.477475643157959},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.43304935097694397},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4271129369735718},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.15493705868721008},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvprw.2011.5981794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2011.5981794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011 WORKSHOPS","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.415.2942","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.415.2942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cvrc.ece.utexas.edu/Publications/WAVP11_Lee_Chen.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W10916678","https://openalex.org/W1510526001","https://openalex.org/W1718093723","https://openalex.org/W1815494026","https://openalex.org/W1971029034","https://openalex.org/W1983705368","https://openalex.org/W2063474133","https://openalex.org/W2096571798","https://openalex.org/W2097121457","https://openalex.org/W2103568877","https://openalex.org/W2119523866","https://openalex.org/W2142996775","https://openalex.org/W2153635508","https://openalex.org/W2161969291","https://openalex.org/W2165874398","https://openalex.org/W2538361501","https://openalex.org/W3120421331","https://openalex.org/W3141200356","https://openalex.org/W4246695531","https://openalex.org/W6630424276","https://openalex.org/W6638610649","https://openalex.org/W6675183855"],"related_works":["https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983","https://openalex.org/W4327670844","https://openalex.org/W2379834692"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,36,63,123,131,138,146],"novel":[3],"framework":[4,161],"to":[5,83,166],"recognize":[6,167],"human-vehicle":[7,115,171],"interactions":[8],"from":[9,73],"aerial":[10],"video.":[11],"In":[12],"this":[13],"scenario,":[14],"the":[15,20,26,42,48,77,89,93,99,102,111,118,149],"object":[16],"resolution":[17],"is":[18],"low,":[19],"visual":[21],"cues":[22],"are":[23,32,54],"vague,":[24],"and":[25,28,92,135,156],"detection":[27],"tracking":[29,44],"of":[30,45,51,106,114,137,148,170],"objects":[31,46],"less":[33],"reliable":[34],"us":[35],"consequence.":[37],"Any":[38],"methods":[39],"that":[40],"require,":[41],"accurate":[43],"or":[47],"exact":[49],"matching":[50],"event":[52,74,104,120],"definition":[53],"better":[55],"avoided.":[56],"To":[57],"address":[58],"these":[59],"issues,":[60],"we":[61,79,109,140],"present":[62],"temporal":[64],"logic":[65],"based":[66],"approach":[67],"which":[68],"does":[69],"not":[70],"require":[71],"training":[72],"examples.":[75],"At":[76,98],"low-level,":[78],"employ":[80],"dynamic":[81],"programming":[82],"perform":[84],"fast":[85],"model":[86],"fitting":[87],"between":[88],"tracked":[90],"vehicle":[91,96],"rendered":[94],"3-D":[95],"models.":[97],"semantic-level,":[100],"given":[101],"localized":[103],"region":[105],"interest":[107,128],"(ROI),":[108],"verify":[110],"time":[112],"series":[113],"relationships":[116],"with":[117],"pre-specified":[119],"definitions":[121],"in":[122,129],"piecewise":[124],"fashion.":[125],"With":[126],"special":[127],"recognizing":[130],"person":[132],"getting":[133],"into":[134],"out":[136],"vehicle,":[139],"have":[141],"tested":[142],"our":[143],"method":[144],"on":[145],"subset":[147],"VIRAT":[150],"Aerial":[151],"Video":[152],"dataset":[153],"[":[154],"]":[155],"achieved":[157],"superior":[158],"results.":[159],"Our":[160],"can":[162],"be":[163],"easily":[164],"extended":[165],"other":[168],"types":[169],"interactions.":[172]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
