{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T15:22:52Z","timestamp":1725636172701},"reference-count":44,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8851764","type":"proceedings-article","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T03:44:32Z","timestamp":1569901472000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["On the Discriminative Power of Learned vs. Hand-Crafted Features for Crowd Density Analysis"],"prefix":"10.1109","author":[{"given":"Mohamed Amine","family":"Marnissi","sequence":"first","affiliation":[]},{"given":"Hajer","family":"Fradi","sequence":"additional","affiliation":[]},{"given":"Jean-Luc","family":"Dugelay","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.1007\/s10462-011-9272-4"},{"doi-asserted-by":"publisher","key":"ref38","DOI":"10.1016\/j.cviu.2012.05.005"},{"key":"ref33","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proceedings of the 25th International Conference on Neural Information Processing Systems -Volume 1 ser NIPS&#x2019;12"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.1109\/CVPR.2014.222"},{"doi-asserted-by":"publisher","key":"ref31","DOI":"10.1109\/CVPR.2014.81"},{"year":"2009","author":"krizhevsky","article-title":"Learning multiple layers of features from tiny images","key":"ref30"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.5244\/C.26.21"},{"doi-asserted-by":"publisher","key":"ref36","DOI":"10.1109\/PETS-WINTER.2009.5399556"},{"doi-asserted-by":"publisher","key":"ref35","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref34","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref10","first-page":"170","article-title":"Crowd density analysis using co-occurrence texture features","author":"ma","year":"2010","journal-title":"5th International Conference on Computer Sciences and Convergence Information Technology"},{"doi-asserted-by":"publisher","key":"ref40","DOI":"10.1007\/BF00058655"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1016\/j.engappai.2018.04.011"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/AVSS.2017.8078556"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/TCSVT.2012.2203736"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/TPAMI.2002.1017623"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/PACIIA.2008.258"},{"key":"ref16","first-page":"1","article-title":"The large-scale crowd density estimation based on sparse spatiotemporal local binary pattern","author":"yang","year":"2011","journal-title":"IEEE International Conference on Multimedia and Expo"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.7763\/IJCEE.2012.V4.490"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/ICIP.2013.6738938"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/ICMEW.2012.71"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1016\/j.engappai.2015.04.006"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1016\/j.inffus.2014.09.005"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1109\/CVPR.2018.00545"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/TCSVT.2016.2615443"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1016\/j.patrec.2017.07.007"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1109\/CVPR.2015.7298684"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/ICCV.2017.551"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1061\/(ASCE)0733-947X(1983)109:1(46)"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/AVSS.2012.87"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1016\/j.neucom.2015.12.070"},{"key":"ref9","first-page":"214","article-title":"Crowd density estimation using texture analysis and learning","author":"keung","year":"2006","journal-title":"Proc IEEE Int Conf Robotics and Biometrics"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/TCSVT.2014.2358029"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1016\/j.neunet.2014.09.003"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1145\/2733373.2806332"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1016\/j.patcog.2017.05.025"},{"doi-asserted-by":"publisher","key":"ref42","DOI":"10.1007\/BFb0033288"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1109\/CVPR.2016.70"},{"doi-asserted-by":"publisher","key":"ref41","DOI":"10.1109\/TIT.1967.1053964"},{"key":"ref23","article-title":"Convolutional channel features for pedestrian, face and edge detection","author":"yang","year":"2015","journal-title":"ICCV"},{"doi-asserted-by":"publisher","key":"ref44","DOI":"10.1109\/CVPRW.2018.00099"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1109\/ICCV.2017.551"},{"doi-asserted-by":"publisher","key":"ref43","DOI":"10.1109\/WACV.2016.7477681"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1109\/IJCNN.2018.8489238"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2019,7,14]]},"location":"Budapest, Hungary","end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08851764.pdf?arnumber=8851764","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:55:41Z","timestamp":1658094941000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8851764\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8851764","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}