{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:56:57Z","timestamp":1730249817445,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,7]]},"DOI":"10.1109\/icme.2017.8019329","type":"proceedings-article","created":{"date-parts":[[2017,9,6]],"date-time":"2017-09-06T21:03:50Z","timestamp":1504731830000},"page":"613-618","source":"Crossref","is-referenced-by-count":9,"title":["Deep learning for robust outdoor vehicle visual tracking"],"prefix":"10.1109","author":[{"given":"Ji-ng","family":"Xin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xing","family":"Du","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"809","article-title":"Learning a deep compact image representation for visual tracking","author":"wang","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025169"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3788\/OPE.20152304.1161"},{"key":"ref13","first-page":"1146","article-title":"Target tracking based on enhanced flock of tracker and deep learning","volume":"37","author":"cheng","year":"2015","journal-title":"Journal of electronics and information technology"},{"key":"ref14","article-title":"Target tracking based on multiple instance deep learning","volume":"37","author":"cheng","year":"2015","journal-title":"Journal of electronics and information technology"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(97)00169-7"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10827-006-0003-9"},{"key":"ref17","first-page":"175","article-title":"Deep learning and its new progress in object and behavior recognition","volume":"19","author":"zheng","year":"2014","journal-title":"Journal of Image and Graphics"},{"key":"ref18","article-title":"k-Sparse Autoencoders","author":"makhzani","year":"2013","journal-title":"Computer Science"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.128"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2066286"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2159266"},{"key":"ref6","article-title":"Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network","author":"hong","year":"2015","journal-title":"Computer Science"},{"key":"ref5","first-page":"1","article-title":"Tracking with deep neural networks","author":"jin","year":"2013","journal-title":"Conference on Information Sciences and Systems"},{"key":"ref8","article-title":"Transferring Rich Feature Hierarchies for Robust Visual Tracking","author":"wang","year":"2015","journal-title":"Computer Vision and Pattern Recognition"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2403231"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2008.915647"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.01.010"},{"key":"ref9","first-page":"834","article-title":"Advances on Application of Deep Learning for Video Object Tracking","volume":"42","author":"guan","year":"2016","journal-title":"Acta Automaticasinica"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1991.3.4.461"},{"key":"ref22","first-page":"2042","article-title":"Robust visual tracking via multi-task sparse learning","volume":"157","author":"ahuja","year":"2012","journal-title":"IEEE Conference on ComputerVision and Pattern Recognition"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.312"},{"key":"ref24","first-page":"52","article-title":"Stacked Convolutional Autoencoders for Hierarchical Feature Extraction","author":"masci","year":"2011","journal-title":"Artificial Neural Networks and Machine Learning-ICANN 2011 International Conference on Artificial Neural Networks"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33765-9_50"}],"event":{"name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2017,7,10]]},"location":"Hong Kong, Hong Kong","end":{"date-parts":[[2017,7,14]]}},"container-title":["2017 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8014303\/8019290\/08019329.pdf?arnumber=8019329","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,10,2]],"date-time":"2017-10-02T23:55:00Z","timestamp":1506988500000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8019329\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icme.2017.8019329","relation":{},"subject":[],"published":{"date-parts":[[2017,7]]}}}