{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T16:43:43Z","timestamp":1778258623372,"version":"3.51.4"},"reference-count":44,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1109\/avss.2018.8639158","type":"proceedings-article","created":{"date-parts":[[2019,2,14]],"date-time":"2019-02-14T23:30:26Z","timestamp":1550187026000},"page":"1-6","source":"Crossref","is-referenced-by-count":25,"title":["Latent Body-Pose guided DenseNet for Recognizing Driver\u2019s Fine-grained Secondary Activities"],"prefix":"10.1109","author":[{"given":"Ardhendu","family":"Behera","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander H","family":"Keidel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref38","first-page":"4278","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","author":"szegedy","year":"2017","journal-title":"AAAI"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.131"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2016.2551553"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"678","DOI":"10.1007\/978-3-319-11752-2_56","article-title":"Fine-grained activity recognition with holistic and pose based features","author":"pishchulin","year":"2014","journal-title":"Pattern Recogn"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3012709.3012735"},{"key":"ref37","article-title":"State farm distracted driver detection","year":"2016"},{"key":"ref36","article-title":"Using convolutional neural networks to perform classification on state farm insurance driver images","author":"singh","year":"2016","journal-title":"Technical report Stanford University 650 Serra Mall CA"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2017.07.021"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.402"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2006.889442"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2016.2555626"},{"key":"ref12","first-page":"33","article-title":"Attentional pooling for action recognition","author":"girdhar","year":"2017","journal-title":"Advances in NIPS"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.129"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.04.018"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.83"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2006.09.005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2017.01.010"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2352\/ISSN.2470-1173.2017.10.IMAWM-162"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2016.2571067"},{"key":"ref4","first-page":"105","author":"carsten","year":"2007","journal-title":"From Driver Models to Modelling the Driver What Do We Really Need to Know About the Driver?"},{"key":"ref27","first-page":"414","article-title":"Learning models for actions and person-object interactions with transfer to question answering","author":"mallya","year":"2016","journal-title":"ECCV"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"},{"key":"ref6","first-page":"3218","article-title":"P-cnn: Pose-based cnn features for action recognition","author":"ch\u00e9ron","year":"2015","journal-title":"IEEE ICCV"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.06.011"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.122"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5543176"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.5244\/C.24.97"},{"key":"ref2","article-title":"Real-time distracted driver posture classification","author":"abouelnaga","year":"2017"},{"key":"ref9","first-page":"647","article-title":"Decaf: A deep convolutional activation feature for generic visual recognition","volume":"32","author":"donahue","year":"2014","journal-title":"ICML"},{"key":"ref1","article-title":"Department of transportation national highway traffic safety administration, traffic safety facts","year":"2008"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2462084"},{"key":"ref22","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in NIPS"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2017.2674998"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540235"},{"key":"ref24","first-page":"740","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"ECCV"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.511"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref44","first-page":"3320","article-title":"How transferable are features in deep neural networks?","author":"yosinski","year":"2014","journal-title":"Advances in NIPS"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995631"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126386"},{"key":"ref25","article-title":"Learning transferable features with deep adaptation networks","author":"long","year":"2015"}],"event":{"name":"2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","location":"Auckland, New Zealand","start":{"date-parts":[[2018,11,27]]},"end":{"date-parts":[[2018,11,30]]}},"container-title":["2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8637085\/8639076\/08639158.pdf?arnumber=8639158","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,13]],"date-time":"2023-09-13T17:13:44Z","timestamp":1694625224000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8639158\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/avss.2018.8639158","relation":{},"subject":[],"published":{"date-parts":[[2018,11]]}}}