一种鲁棒的显著图生成和目标检测技术

N. Dat
{"title":"一种鲁棒的显著图生成和目标检测技术","authors":"N. Dat","doi":"10.1109/ICSSE.2017.8030879","DOIUrl":null,"url":null,"abstract":"Nowadays, human has used computers and especially, its applications to manage and solve daily problems, such as fly booking, traffic control, detecting abnormal actions of vehicle, etc. Those tasks must be automatic, rapid and precise to adapt with real time, which may alert the local transportation or police officers as early as possible in hope of reducing risk or furthermore, fatal road accidents. In more detail, computer algorithms should work properly and be applied effective methods in important steps during the particular process, which always relates to segmentation, object recognition, determining a suitable threshold, etc. At this moment, there are various approaches and ways to implement them. In this study, we focus on the effectiveness of rapidly detecting main object and shortening previous process. It made a clearer process, simple to re-implement as well as the improvement, compared with previous researches.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A robust technique for salient map generation and object detection\",\"authors\":\"N. Dat\",\"doi\":\"10.1109/ICSSE.2017.8030879\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, human has used computers and especially, its applications to manage and solve daily problems, such as fly booking, traffic control, detecting abnormal actions of vehicle, etc. Those tasks must be automatic, rapid and precise to adapt with real time, which may alert the local transportation or police officers as early as possible in hope of reducing risk or furthermore, fatal road accidents. In more detail, computer algorithms should work properly and be applied effective methods in important steps during the particular process, which always relates to segmentation, object recognition, determining a suitable threshold, etc. At this moment, there are various approaches and ways to implement them. In this study, we focus on the effectiveness of rapidly detecting main object and shortening previous process. It made a clearer process, simple to re-implement as well as the improvement, compared with previous researches.\",\"PeriodicalId\":296191,\"journal\":{\"name\":\"2017 International Conference on System Science and Engineering (ICSSE)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on System Science and Engineering (ICSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSE.2017.8030879\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE.2017.8030879","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

如今,人类已经利用计算机,特别是它的应用程序来管理和解决日常问题,如订机票、交通管制、检测车辆异常行为等。这些任务必须是自动的、快速的和精确的,以适应实时情况,这可能会提醒当地的交通或警察官员尽早减少风险,甚至是致命的道路事故。更具体地说,在特定的过程中,计算机算法应该正常工作,并在重要步骤中应用有效的方法,这通常涉及到分割,目标识别,确定合适的阈值等。目前,有各种各样的方法和方法来实现它们。在本研究中,我们关注的是快速检测主要目标和缩短前置过程的有效性。与以往的研究相比,该方法使流程更清晰,易于重新实施,并有一定的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A robust technique for salient map generation and object detection
Nowadays, human has used computers and especially, its applications to manage and solve daily problems, such as fly booking, traffic control, detecting abnormal actions of vehicle, etc. Those tasks must be automatic, rapid and precise to adapt with real time, which may alert the local transportation or police officers as early as possible in hope of reducing risk or furthermore, fatal road accidents. In more detail, computer algorithms should work properly and be applied effective methods in important steps during the particular process, which always relates to segmentation, object recognition, determining a suitable threshold, etc. At this moment, there are various approaches and ways to implement them. In this study, we focus on the effectiveness of rapidly detecting main object and shortening previous process. It made a clearer process, simple to re-implement as well as the improvement, compared with previous researches.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Design and simulate a Fuzzy autopilot for an Unmanned Surface Vessel Analysis of voltage-variation results of Taiwan Power System connected with a ring-type high-capacity offshore wind farm Nighttime vehicle detection and classification via headlights trajectories matching Determining the effects of marketing mix on customers' purchase decision using the grey model GM(0,N) - case study of the western style coffeehouse chains in Vietnam A neural control of the parallel Gas Turbine with differential link
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1