{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:05:20Z","timestamp":1740099920293,"version":"3.37.3"},"reference-count":9,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,1,31]],"date-time":"2021-01-31T00:00:00Z","timestamp":1612051200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,31]],"date-time":"2021-01-31T00:00:00Z","timestamp":1612051200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,31]],"date-time":"2021-01-31T00:00:00Z","timestamp":1612051200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002547","name":"Semyung University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002547","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,31]]},"DOI":"10.1109\/iceic51217.2021.9369802","type":"proceedings-article","created":{"date-parts":[[2021,3,10]],"date-time":"2021-03-10T22:01:44Z","timestamp":1615413704000},"page":"1-2","source":"Crossref","is-referenced-by-count":0,"title":["An Efficient Recognition Method for Object Detection System"],"prefix":"10.1109","author":[{"given":"Kyung-Min","family":"Lee","sequence":"first","affiliation":[]},{"given":"Chi-ho","family":"Lin","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"INRIA Person Dataset","year":"2011","author":"dalal","key":"ref4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2011.06.014"},{"key":"ref6","article-title":"Deep Activity Recognition Models with Triaxial Accelerometers","author":"alsheikh","year":"0","journal-title":"AAAI Workshop"},{"key":"ref5","article-title":"The Puffin pedestrian crossing: pedestrian behavioural study","author":"reading","year":"1995","journal-title":"Traffic Engineering & Control"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2012.393"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806333"},{"key":"ref2","first-page":"1819","article-title":"Fast pedestrian Recognition based on hog-pca and gentle adaboost","author":"jiang","year":"0","journal-title":"Computer Science & Service System (CSSS) 2012 International Conference on"},{"key":"ref9","first-page":"900","article-title":"HOG-PCA descriptor with optical flow based human Recognition and tracking","author":"suresh","year":"0","journal-title":"2014 International Conference on Communication and Signal Processing"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.4271\/2008-01-1252"}],"event":{"name":"2021 International Conference on Electronics, Information, and Communication (ICEIC)","start":{"date-parts":[[2021,1,31]]},"location":"Jeju, Korea (South)","end":{"date-parts":[[2021,2,3]]}},"container-title":["2021 International Conference on Electronics, Information, and Communication (ICEIC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9369688\/9369708\/09369802.pdf?arnumber=9369802","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:42:20Z","timestamp":1652197340000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9369802\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,31]]},"references-count":9,"URL":"https:\/\/doi.org\/10.1109\/iceic51217.2021.9369802","relation":{},"subject":[],"published":{"date-parts":[[2021,1,31]]}}}