{"id":"https://openalex.org/W2840753721","doi":"https://doi.org/10.1109/ivcnz.2017.8402447","title":"Deep actionlet proposals for driver's behavior monitoring","display_name":"Deep actionlet proposals for driver's behavior monitoring","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2840753721","doi":"https://doi.org/10.1109/ivcnz.2017.8402447","mag":"2840753721"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz.2017.8402447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2017.8402447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5030762278","display_name":"Anwaar Ulhaq","orcid":"https://orcid.org/0000-0002-5145-7276"},"institutions":[{"id":"https://openalex.org/I71270174","display_name":"Victoria University","ror":"https://ror.org/04j757h98","country_code":"AU","type":"education","lineage":["https://openalex.org/I71270174"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Anwaar Ulhaq","raw_affiliation_strings":["College of Engineering and Science, Victoria University, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Science, Victoria University, VIC, Australia","institution_ids":["https://openalex.org/I71270174"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081879366","display_name":"Jing He","orcid":"https://orcid.org/0000-0001-6488-1052"},"institutions":[{"id":"https://openalex.org/I71270174","display_name":"Victoria University","ror":"https://ror.org/04j757h98","country_code":"AU","type":"education","lineage":["https://openalex.org/I71270174"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jing He","raw_affiliation_strings":["College of Engineering and Science, Victoria University, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Science, Victoria University, VIC, Australia","institution_ids":["https://openalex.org/I71270174"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049750015","display_name":"Yanchun Zhang","orcid":"https://orcid.org/0000-0002-5094-5980"},"institutions":[{"id":"https://openalex.org/I71270174","display_name":"Victoria University","ror":"https://ror.org/04j757h98","country_code":"AU","type":"education","lineage":["https://openalex.org/I71270174"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yanchun Zhang","raw_affiliation_strings":["Centre for Applied Informatics, Victoria University, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Applied Informatics, Victoria University, VIC, Australia","institution_ids":["https://openalex.org/I71270174"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030762278"],"corresponding_institution_ids":["https://openalex.org/I71270174"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.2464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9988999962806702,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9962000250816345,"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/computer-science","display_name":"Computer science","score":0.7717670798301697},{"id":"https://openalex.org/keywords/law-enforcement","display_name":"Law enforcement","score":0.6663703918457031},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.5612082481384277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5290296077728271},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4687982201576233},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4670516550540924},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.44433826208114624},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43848109245300293},{"id":"https://openalex.org/keywords/distracted-driving","display_name":"Distracted driving","score":0.43514493107795715},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4301908314228058},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4201081395149231},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.38740649819374084},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.35633182525634766},{"id":"https://openalex.org/keywords/distraction","display_name":"Distraction","score":0.24432972073554993}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7717670798301697},{"id":"https://openalex.org/C2780262971","wikidata":"https://www.wikidata.org/wiki/Q44554","display_name":"Law enforcement","level":2,"score":0.6663703918457031},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.5612082481384277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5290296077728271},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4687982201576233},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4670516550540924},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.44433826208114624},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43848109245300293},{"id":"https://openalex.org/C2776465824","wikidata":"https://www.wikidata.org/wiki/Q5283083","display_name":"Distracted driving","level":3,"score":0.43514493107795715},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4301908314228058},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4201081395149231},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.38740649819374084},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35633182525634766},{"id":"https://openalex.org/C2776378700","wikidata":"https://www.wikidata.org/wiki/Q3030775","display_name":"Distraction","level":2,"score":0.24432972073554993},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivcnz.2017.8402447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2017.8402447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.vu.edu.au:36995","is_oa":false,"landing_page_url":"https://vuir.vu.edu.au/36995/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400215","display_name":"Victoria University Research Repository (Victoria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I41156924","host_organization_name":"Victoria University of Wellington","host_organization_lineage":["https://openalex.org/I41156924"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"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":30,"referenced_works":["https://openalex.org/W116278252","https://openalex.org/W182486277","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1543980275","https://openalex.org/W1731216824","https://openalex.org/W1760572580","https://openalex.org/W1789336918","https://openalex.org/W1839118408","https://openalex.org/W1864464506","https://openalex.org/W1922123711","https://openalex.org/W1954390275","https://openalex.org/W2043521315","https://openalex.org/W2053593408","https://openalex.org/W2086177416","https://openalex.org/W2126541908","https://openalex.org/W2137056506","https://openalex.org/W2161180499","https://openalex.org/W2163605009","https://openalex.org/W2169852119","https://openalex.org/W2183182206","https://openalex.org/W2303399114","https://openalex.org/W2486323017","https://openalex.org/W2613718673","https://openalex.org/W2963340555","https://openalex.org/W4293398130","https://openalex.org/W6607370471","https://openalex.org/W6620707391","https://openalex.org/W6638946568","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W626594146","https://openalex.org/W185150261","https://openalex.org/W2190916350","https://openalex.org/W2142606205","https://openalex.org/W1984378874","https://openalex.org/W2789290652","https://openalex.org/W2000743860","https://openalex.org/W1903611406","https://openalex.org/W1965713301","https://openalex.org/W139953778"],"abstract_inverted_index":{"Automated":[0],"cell":[1],"phone":[2],"usage":[3],"detection":[4],"systems":[5],"are":[6],"a":[7,26,114,125],"privilege":[8],"for":[9],"traffic":[10,68],"law":[11],"enforcement":[12],"to":[13,19,31,103,164],"avoid":[14],"increasing":[15],"death":[16],"toll":[17],"due":[18],"irresponsible":[20,41],"drive":[21],"behavior":[22,35,42],"This":[23],"paper":[24],"presents":[25],"computer":[27],"vision":[28],"based":[29,54,66,82],"approach":[30,134,159],"automatically":[32],"monitor":[33],"driver's":[34],"during":[36],"driving":[37],"especially":[38],"focusing":[39],"on":[40,55,67,71,83,137],"like":[43],"use":[44,97],"of":[45,49],"mobile":[46],"phone.":[47],"Majority":[48],"the":[50,56,60,72,138,150,165],"earlier":[51],"work":[52],"is":[53,65,135],"camera":[57],"system":[58],"inside":[59],"vehicle.":[61],"Our":[62],"framework":[63],"however,":[64],"monitoring":[69],"cameras":[70],"road.":[73],"At":[74],"first,":[75],"we":[76,109],"learn":[77],"deep":[78,93],"action":[79],"specific":[80],"features":[81],"pose":[84],"and":[85,88,145],"appearance":[86],"representation":[87],"train":[89],"an":[90],"SVM,":[91],"named":[92],"actionlet.":[94],"We":[95],"then":[96],"action-let":[98],"activations":[99],"from":[100],"input":[101],"images":[102],"get":[104],"candidate":[105],"actionlet":[106],"proposals.":[107],"Finally,":[108],"integrate":[110],"these":[111],"proposals":[112],"into":[113],"Faster":[115],"spectral-RCNN":[116],"replacing":[117],"region":[118],"proposal":[119],"network.":[120],"The":[121,132],"spectral":[122],"domain":[123],"provides":[124],"significant":[126],"speedup":[127],"with":[128],"underlying":[129],"model":[130],"unchanged.":[131],"proposed":[133],"evaluated":[136],"challenging":[139],"Strategic":[140],"Highway":[141],"Research":[142],"Program":[143],"(SHRP2)":[144],"internally":[146],"developed":[147],"Driver":[148],"in":[149],"Wild":[151],"dataset.":[152],"Detailed":[153],"experimental":[154],"results":[155],"show":[156],"that":[157],"our":[158],"achieves":[160],"better":[161],"performance":[162],"compared":[163],"state-of-the":[166],"art":[167],"approaches.":[168]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}