{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T15:06:57Z","timestamp":1730214417094,"version":"3.28.0"},"reference-count":51,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,11]]},"DOI":"10.1109\/dicta.2017.8227400","type":"proceedings-article","created":{"date-parts":[[2017,12,21]],"date-time":"2017-12-21T20:19:08Z","timestamp":1513887548000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Action Recognition Based on Correlated Codewords of Body Movements"],"prefix":"10.1109","author":[{"given":"Worapan","family":"Kusakunniran","sequence":"first","affiliation":[]},{"given":"Qiang","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Jian","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"674","article-title":"An iterative image registration technique with an application to stereo vision","author":"lucas","year":"1981","journal-title":"DARPA Image Understanding Workshop"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/1291233.1291311"},{"key":"ref33","first-page":"817","article-title":"Motion context: a new representation for human action recognition","author":"zhang","year":"2008","journal-title":"European Conf on Computer Vision"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.5244\/C.22.109"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587735"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383132"},{"key":"ref36","first-page":"1","article-title":"Recognizing human actions using multiple features","author":"liu","year":"2008","journal-title":"IEEE Int Conf on Computer Vision and Pattern Recognition"},{"key":"ref35","first-page":"97","article-title":"A descriptive algorithm for sobel image edge detection","author":"vincent","year":"2009","journal-title":"Informing Science and IT Education Conference"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.2991\/icfcce-14.2014.19"},{"key":"ref28","first-page":"222","article-title":"Scale invariant action recognition using compound features mined from dense spatio-temporal corners","author":"gilbert","year":"2008","journal-title":"European Conf on Computer Vision"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4409049"},{"key":"ref29","first-page":"140","article-title":"Convolutional learning of spatio-temporal features","author":"taylor","year":"2010","journal-title":"European Conf on Computer Vision"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238420"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/34.910878"},{"key":"ref20","first-page":"166","article-title":"Efficient visual event detection using volumetric features","author":"ke","year":"2005","journal-title":"IEEE Int Conf on Computer Vision"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2009.66"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/VSPETS.2005.1570899"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.43"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0122-4"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4408923"},{"key":"ref25","article-title":"Deep learning of invariant spatio-temporal features from video","author":"chen","year":"2010","journal-title":"NIPS Workshop on Deep Learning and Unsupervised Feature Learning"},{"key":"ref50","first-page":"128","article-title":"An affine invariant interest point detector","author":"mikolajczyk","year":"2002","journal-title":"European Conf on Computer Vision"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.253"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-005-1838-7"},{"journal-title":"Log-euclidean bag of words for human action recognition","year":"2014","author":"faraki","key":"ref11"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(81)90024-2"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206779"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2014.01.002"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.5244\/C.22.99"},{"key":"ref15","first-page":"650","article-title":"An efficient dense and scale-invariant spatio-temporal interest point detector","author":"willems","year":"2008","journal-title":"European Conf on Computer Vision"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587756"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.5244\/C.23.124"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref19","article-title":"Tutorial: computing 2d and 3d optical flow","author":"barron","year":"2005","journal-title":"Tina Memo No"},{"journal-title":"Action recognition in the frequency domain","year":"2014","author":"tran","key":"ref4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.58"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1007\/978-3-642-53842-1_36","article-title":"Human action recognition from intertemporal dictionaries of key-sequences","author":"alfaro","year":"2014","journal-title":"Image and Video Technology"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025289"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1334462"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459335"},{"key":"ref49","first-page":"1","article-title":"Action mach a spatiotemporal maximum average correlation height filter for action recognition","author":"rodriguez","year":"2008","journal-title":"IEEE Int Conf on Computer Vision and Pattern Recognition"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238378"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511801389"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.28"},{"key":"ref47","first-page":"101","article-title":"In defense of one-vs-all classification","volume":"5","author":"rifkin","year":"2004","journal-title":"Journal of Machine Learning Research"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017616"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-010-0001-0"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/16.10.906"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2005.01.008"}],"event":{"name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","start":{"date-parts":[[2017,11,29]]},"location":"Sydney, NSW","end":{"date-parts":[[2017,12,1]]}},"container-title":["2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8226656\/8227375\/08227400.pdf?arnumber=8227400","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,25]],"date-time":"2022-01-25T17:43:22Z","timestamp":1643132602000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8227400\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/dicta.2017.8227400","relation":{},"subject":[],"published":{"date-parts":[[2017,11]]}}}