object n. 1. 物,物体,物件。 2.目标 (of; for); 目的,宗旨。 3.【哲学】对象,客体,客观 (opp. subject); 【语法】宾语。 4.〔口语〕(可笑或可怜的)人[物]。 a small [strange] object 小[奇怪]东西。 the object of study 研究的对象。 the direct [indirect] object 直接[间接]受词。 What an object you have made (of) yourself! 〔口语〕你这家伙把自己搞得真不像样子! attain [achieve, gain, secure] one's object 达到目的。 fail [succeed] in one's object 没有达到[达到]目的。 for that object 为了那个目的。 no object 〔广告用语〕怎样都好,不成问题;没有困难(Distance is no object. (待聘者)上班距离(远、近)不成问题)。 propose an objectto oneself = set an object before one 立志,立下目标。 with that object in view 怀着那个目的。 vi. 1.反对,抗议,表示异议 (against, to)。 2.抱反感,不服气,有意见。 vt. 提出…作反对的理由 (that)。 If you don't object. 假使你不反对。 I object. 〔英下院〕我反对。 I object against him that he is a hypocrite. 我反对他,因为他是个伪君子。 object to 1. 反对(I object to your doing that. 我反对你做那件事)。 2.讨厌(I object very much to a wet weather. 我非常讨厌潮湿的天气)。 adj. -less 没有目的[宗旨]的,没有物像的。
object to 反对,不赞成; 反对;抗议,抱反感; 反对;抗议;不支持; 声称; 提出异议; 赞成……的人则认为
These researches are essential either in theory or engineer . in chapter one , roundly discussed dome camera and moving detection and motion tracking , and described the system of video survey in brief , analyzed the reason of the invention of dome camera and the advantages of it . finally the control of step motor and motion tracking in real time is discussed which are very important for full sphere , automatic object tracking intelligence dome camera 第一章对球形摄像机、运动目标检测和自动跟踪等技术的发展概况进行了全面综述;对监控系统的组成,各部分的功能作了简单的介绍;分析球形摄像机产生的原因和应用在图像监控系统中的优势;阐述目标自动跟踪智能球形摄像机所涉及的两项关键技术:步进电机运动的平稳控制和运动目标检测与实时跟踪。
Full sphere , automatic object tracking intelligence dome camera is a kind of important basic device in video survey system . with the support of zhejiang nanwang multimedia co . ltd , the writer triumphantly investigated it , and researched the key technologies and theories 目标自动跟踪一体化智能球形摄像机是监控系统的前端设备,作者依托实际项目,对其进行了成功的开发,并围绕产品研发的一些关键技术问题进行系统深入的研究,具有重要的理论价值和实际工程意义。
For the detecting and tracking of objects in a static background , we summarize mature detecting algorithms , compare the adjacent frame difference method with the adaptive background difference one and implement an automatic object detecting and tracking system based on adaptive background difference and kalman filtration . as for image feature extraction , we systematically summarize available extraction methods and present the definition of image feature points 静止背景中目标检测和跟踪方面,本文在前人大量工作的基础上,总结了成熟的静止背景中目标检测算法,试验对比了瞬时差分法和自适应背景相减法,提出并实现了一个基于自适应背景相减法和卡尔曼滤波的自动目标检测和跟踪系统。