classification n. 1.选别;分等,分级;分选。 2.【动、植】分类(法)。 〔分类级别为: phylum 【动物;动物学】及 division 【植物;植物学】门,class 纲,order 目,family 科,genus 属,species 种,variety 品种〕。 3.类别;等级;(文件的)保密级。 a classification yard (车站的)调车场。
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
Objects classification is an important aspect of video - based motion analysis whose research content is to classify moving objects into semantically meaningful categories , associating the correct object class label with the region of interest 其中,目标分类是基于视频的运动分析课题中的一个重要方面,其研究内容是对提取的运动目标进行语义上的分类,将不同的目标对应于不同的类别。
As the core technology in the intelligence surveillance , moving objects analysis based on video consists of the moving objects detection and retrieval , the object classification , incident detection , action identification and analysis , and so on , the detection and retrieval of moving objects is the foundation and key of it 运动物体视觉分析作为智能监控中的一项核心技术,它包括运动物体检测与提取、物体分类、事件检测、行为识别和分析等,而运动物体检测与提取又是其中的基础和关键。
The moving object classification of normal outdoor scenes based on static odd - camera is studied in this paper . on the basis of summarizing and analyzing actuality research and algorithms both here and aboard , an object classification algorithm based on shape features and support vector machines is proposed . it classes the objects detected in video into four familiar sorts : person , crowd , vehicle , bicycles 本文研究基于静止单摄像机的普通户外场景下的运动目标分类技术,在总结分析目标分类研究现状和当前国内外已有算法的基础上,提出了一种基于形状特征和支持向量机的目标分类算法,将视频中检测到的目标分类为几种常见的目标类别:人、人群、车、自行车。
This paper ' s method gives a new approach that groups the pixels by larger - scale neighborhood and gets the parameters of the neighborhood by k - l transform . these parameters marked as x , y , a , 0 , specifying the center coordinate , length and direction of the neighborhood separately , are the basic data for following process . then some traditional algorithms of edge track and object classification are used to accomplish the task of gaining last objects 该方法的新颖之处在于不直接用象素点作为处理单元,而是引入了一个邻域替代的概念,就是说将邻域内所有的数据点作为一个整体的处理单元看待,利用邻域内的所有数据点,计算一些可以表示邻域的参数x , y , , (邻域的位置、方向、长度) ,这些参数完全根据邻域内数据点的位置信息获得。