{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T14:00:59Z","timestamp":1762005659641,"version":"build-2065373602"},"reference-count":16,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/icip.2018.8451787","type":"proceedings-article","created":{"date-parts":[[2018,9,7]],"date-time":"2018-09-07T17:59:22Z","timestamp":1536343162000},"page":"953-957","source":"Crossref","is-referenced-by-count":7,"title":["Crowd Counting with Fully Convolutional Neural Network"],"prefix":"10.1109","author":[{"family":"Ming Liu","sequence":"first","affiliation":[]},{"family":"Jue Jiang","sequence":"additional","affiliation":[]},{"family":"Zhenqei Guo","sequence":"additional","affiliation":[]},{"family":"Zenan Wang","sequence":"additional","affiliation":[]},{"family":"Yang Liu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2017.8078491"},{"journal-title":"Spatiotemporal modeling for crowd counting in videos","year":"2017","author":"xiong","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298684"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806337"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532551"},{"journal-title":"Feature pyramid networks for object detection","year":"2016","author":"lin","key":"ref15"},{"key":"ref16","first-page":"1324","article-title":"Learning to count objects in images","author":"lempitsky","year":"2010","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477682"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459191"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.70"},{"journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition","year":"2014","author":"simonyan","key":"ref5"},{"journal-title":"Image crowd counting using convolutional neural network and markov random field","year":"2017","author":"han","key":"ref8"},{"key":"ref7","first-page":"640","article-title":"Crowdnet: A deep convolutional network for dense crowd counting","author":"lokesh","year":"2016","journal-title":"Proceedings of the 2016 ACM on Multimedia Conference"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref1","article-title":"A survey of recent advances in cnn-based single image crowd counting and density estimation","author":"sindagi","year":"2017","journal-title":"Pattern Recognition Letters"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.329"}],"event":{"name":"2018 25th IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2018,10,7]]},"location":"Athens","end":{"date-parts":[[2018,10,10]]}},"container-title":["2018 25th IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8436606\/8451009\/08451787.pdf?arnumber=8451787","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T11:08:15Z","timestamp":1643195295000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8451787\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/icip.2018.8451787","relation":{},"subject":[],"published":{"date-parts":[[2018,10]]}}}