{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T00:30:49Z","timestamp":1761611449583,"version":"3.37.3"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2018,9,1]],"date-time":"2018-09-01T00:00:00Z","timestamp":1535760000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Emerg. Sel. Topics Circuits Syst."],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1109\/jetcas.2018.2832439","type":"journal-article","created":{"date-parts":[[2018,5,2]],"date-time":"2018-05-02T19:18:16Z","timestamp":1525288696000},"page":"591-602","source":"Crossref","is-referenced-by-count":9,"title":["An Energy-Quality Scalable Wireless Image Sensor Node for Object-Based Video Surveillance"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4434-4318","authenticated-orcid":false,"given":"Jong Hwan","family":"Ko","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2039-3772","authenticated-orcid":false,"given":"Taesik","family":"Na","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saibal","family":"Mukhopadhyay","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"Examining the impact of blur on recognition by convolutional networks","year":"2016","author":"vasiljevic","key":"ref39"},{"key":"ref38","doi-asserted-by":"crossref","DOI":"10.1109\/ICCCN.2017.8038465","article-title":"A study and comparison of human and deep learning recognition performance under visual distortions","author":"dodge","year":"2017"},{"key":"ref33","first-page":"475","article-title":"Conditional deep learning for energy-efficient and enhanced pattern recognition","author":"panda","year":"2016","journal-title":"Proc DATE"},{"key":"ref32","first-page":"4","article-title":"Smart surveillance system based on stereo matching algorithms with IP and PTZ cameras","author":"manap","year":"2010","journal-title":"Proc of the 3DTV Conference The True Vision - Capture Transmission and Display of 3D Video (3DTV-CON '08)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1117\/1.3120485"},{"key":"ref30","first-page":"1","article-title":"Efficient adaptive bit-rate control for scalable video coding by using computational complexity-rate-distortion analysis","author":"grois","year":"2011","journal-title":"Proc IEEE Int Symp Broadband Multimedia Syst Broadcast"},{"key":"ref37","first-page":"172","article-title":"Vehicle type classification using unsupervised convolutional neural network","volume":"11","author":"dong","year":"2014","journal-title":"Proc 22nd Int Conf Pattern Recognit"},{"article-title":"Deep learning algorithms with applications to video analytics for a smart city: A survey","year":"2015","author":"wang","key":"ref36"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315181"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.456"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CISP.2012.6469992"},{"key":"ref27","first-page":"2067","article-title":"A region based multiple frame-rate tradeoff of video streaming","volume":"3","author":"lai","year":"2004","journal-title":"Proc Int Conf Image Process"},{"key":"ref29","first-page":"3717","article-title":"Region of interest video coding for low bit-rate transmission of carotid ultrasound videos over 3G wireless networks","author":"tsapatsoulis","year":"2007","journal-title":"Proc IEEE Annu Int Conf Eng Med Biol Soc"},{"key":"ref2","first-page":"1","article-title":"Intelligent vehicle counting and classification sensor for real-time traffic surveillance","author":"balid","year":"2017","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2700460"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/34.868684"},{"key":"ref22","first-page":"925","article-title":"Optical flow estimation using high frame rate sequences","volume":"2","author":"lim","year":"2001","journal-title":"Proc ICIP"},{"key":"ref21","first-page":"33003","article-title":"Comparative study of background subtraction algorithms","volume":"19","author":"benezeth","year":"2010","journal-title":"Proc SPIE"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2013.2256816"},{"key":"ref23","first-page":"1","article-title":"A CMOS image sensor with low-complexity video compression for wireless sensor networks","author":"chefi","year":"2013","journal-title":"Proc IEEE NEWCAS"},{"key":"ref26","first-page":"149","article-title":"Fully pipelined VLSI architecture of a real-time block-based object detector for intelligent video surveillance systems","author":"tuan","year":"2015","journal-title":"Proc IEEE\/ACIS 14th Int Conf Comput Inf Sci"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/76.988659"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2009.2026958"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/S0923-5965(03)00076-6"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2010.2051426"},{"key":"ref58","article-title":"Deep residual learning for image recognition","author":"he","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref57","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Proc ECCV"},{"journal-title":"R-FCN With Joint Training and Python Support","year":"0","author":"xiong","key":"ref56"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"journal-title":"Caffe An Open Source Convolutional Architecture for Fast Feature Embedding","year":"2014","author":"jia","key":"ref54"},{"key":"ref53","first-page":"379","article-title":"R-FCN: Object detection via region-based fully convolutional networks","author":"dai","year":"2016","journal-title":"Proc NIPS"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/MSSC.2014.2375071"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2013.2256822"},{"key":"ref11","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume":"12","author":"krizhevsky","year":"2012","journal-title":"Proc NIPS"},{"article-title":"Keeping the bad guys out: Protecting and vaccinating deep learning with JPEG compression","year":"2017","author":"das","key":"ref40"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2010.5537907"},{"key":"ref14","first-page":"1213","article-title":"On classification of distorted images with deep convolutional neural networks","author":"zhou","year":"2017","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process"},{"article-title":"Comparing deep neural networks against humans: Object recognition when the signal gets weaker","year":"2017","author":"geirhos","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMSCS.2015.2478469"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/S0262-8856(98)00104-8"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.rti.2004.12.004"},{"key":"ref19","first-page":"751","article-title":"Non-parametric model for background subtraction","author":"elgammal","year":"2000","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref4","first-page":"1133","article-title":"Smart surveillance: Applications, technologies and implications","author":"hampapur","year":"2003","journal-title":"Proc ICICS-FCM"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/TPAMI.2013.111","article-title":"Anomaly detection and localization in crowded scenes","volume":"36","author":"li","year":"2014","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2014.2367371"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2014.2302557"},{"key":"ref8","first-page":"1342","article-title":"Non-buffered rate control for real time video compression","author":"sun","year":"2014","journal-title":"Proc IEEE Globecom"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1017\/ATSIP.2014.15"},{"journal-title":"The Open-Source H 264\/AVC Verification Model","year":"0","key":"ref49"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2005.1406476"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1093\/ietele\/e89-c.3.230"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2012.6238919"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2011.42"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2013.2249295"},{"key":"ref42","first-page":"138","article-title":"An energy-efficient wireless video sensor node with a region-of-interest based multi-parameter rate controller for moving object surveillance","author":"ko","year":"2016","journal-title":"Proc IEEE Int Conf Adv Video Signal-Based Surveill (AVSS)"},{"key":"ref41","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1145\/2934583.2934618","article-title":"An energy-aware approach to noise-robust moving object detection for low-power wireless image sensor platforms","author":"ko","year":"2016","journal-title":"Proc Int Symp Low Power Electron Design (ISLPED)"},{"journal-title":"nRF24L01+ Single Chip 2 4 GHz Transceiver Preliminary Product Specification V1 0","year":"2008","key":"ref44"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/128749.128750"}],"container-title":["IEEE Journal on Emerging and Selected Topics in Circuits and Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5503868\/8458338\/08353404.pdf?arnumber=8353404","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T11:03:40Z","timestamp":1643195020000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8353404\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9]]},"references-count":59,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/jetcas.2018.2832439","relation":{},"ISSN":["2156-3357","2156-3365"],"issn-type":[{"type":"print","value":"2156-3357"},{"type":"electronic","value":"2156-3365"}],"subject":[],"published":{"date-parts":[[2018,9]]}}}