視頻對象提取 的英文怎麼說

中文拼音 [shìbīnduìxiàngdīqǔ]
視頻對象提取 英文
video object extraction
  • 視 : Ⅰ動詞1. （看） look at 2. （看待） regard; look upon 3. （考察） inspect; watch Ⅱ名詞（姓氏） a surname
  • 頻 : Ⅰ形容詞（次數多） frequent Ⅱ副詞（屢次） frequently; repeatedly Ⅲ名詞1 [物理學] （物體每秒鐘振動...
  • 對 : Ⅰ動詞1 （回答） answer; reply 2 （對待; 對付） treat; cope with; counter 3 （朝; 向; 面對） be tr...
  • 提 : 提動詞（垂手拿著） carry （in one's hand with the arm down）
  • 取 : Ⅰ動詞1 （拿到身邊） take; get; fetch 2 （得到; 招致） aim at; seek 3 （採取; 選取） adopt; assume...
  • 視頻 : [物理學] video frequency （v f ）; vision frequency; visual frequency; video視頻變頻器[變換器] vi...
  • 提取 : 1. （取出） draw; pick up; collect 2. （提煉） extract; abstract; recover
  1. With the help of video detection and recognition methods, we can sample real - timely traffic messages, such as traffic flow, road situation and so on, and get the relative information so as to avoid traffic jam before it happens, on the other hand, to real - time traffic breach detection, video detection and recognition methods is also very effective, especially, it can provide strong evidence for traffic policemen

    通過視頻圖象的檢測與識別，可以對道路的交通流、路況等實時監視，提取交通流信息（車流量、車道佔有率、車速等） ，在交通擁擠未發生時，及時採取措施、疏導交通、防止交通擁擠發生；另一方面，通過視頻圖象的檢測與識別，還可以實時檢測交通違章現象、識別違章車輛的車牌號碼，為公安交通管理部門提供強有力的執法證據。
  2. Adaptive algorithm of video object segmentation under moving and static background

    基於動靜背景下的視頻對象自適應提取演算法
  3. Stereoscopic video object extraction based on disparity and threshold

    基於視差和閾值分割的立體視頻對象提取
  4. In the videophone, conference call, dynamic monitor and human identification, there are more and more applications of human video object. it is worth studying location and analysis of head in theory and application. our paper studies the estimation and analyses of partial motion in detail and realize location and extraction of head

    針對這些領域的應用要求，本論文以視頻圖象中頭肩區域為對象，研究視頻對象的運動分析方法、檢測靜止背景中人體（主要是頭肩）的運動方向和速度，實現頭部的定位與提取。
  5. Mpeg compressed domain video object extraction

    壓縮域的視頻對象提取方法
  6. Video object extraction

    視頻對象提取
  7. After studied a great many of tcp - friendly congestion control protocols and the quality - oriented rate control methods in this thesis, we design a congestion control protocol rooted upon a specific application, to manipulate the output video rate of fgs - the scalable mpeg - 4 encoder. since the mpeg - 4 video streams consist of multi - objects, we present two rate control policies : one is priority - bl ( base layer ) based, the other is priority - object based, and the priority is decided by cb - tfrc taking account of the user ' s mind, thus we accomplish the content - based tcp - friendly rate control

    本文在研究了各種tcp - friendly協議和面向質量的速率控制方法之後，設計了一種與具體應用相關的擁塞控制協議cb - tfrc ，可以對mpeg - 4可伸縮性編碼器fgs的輸出速率進行控制，針對包含多個對象的mpeg - 4視頻流，提出了優先保證基層數據和優先保證對象的兩種速率分配策略， cb - tfrc可以根據用戶感興趣的內容，來決定採取哪種策略，從而實現基於內容的tcp - friendly擁塞控制。
  8. In chapter 3, we expatiate upon the algorithm that abstracts information of vos based on spacial segmentation

    第三章集中闡述在頻域上提取視頻對象信息的演算法。
  9. The paper is based on the project of " the research of mathematics and computer frequency dynamic simulation theory on knobs not result ". the research content is object to the image of log knobs by vidicon getting to detect the shape of log knobs according to the method of video disposal. the paper apply digital image processing technology to log knobs image to swell and detect borders, then distill the surface shape and characteristic parameter of knobs. the thesis depict the knobs three - dimensional models, build the mathematics models of log knobs and simulation two - dimensional image curve of the log knobs primary section which has been discerned, thereby achieve our researching aim to reappear the knobs image on computer

    本論文是國家自然科學基金資助項目「節子ndt結果的數學描述與視頻動態模擬理論的研究」的基礎研究之一，論文的研究內容是通過視頻處理的方法檢測原木表面節子的形狀，以攝像機採集的原木表面節子圖像為對象，運用數字圖像處理技術對節子圖像進行修正、增強、邊緣檢測等處理，提取節子的形狀特徵參數，並運用數學的方法，歸納總結其規律，應用數學的方法對節子的二維模型進行描述，建立原木節子的數學模型，對識別出的原木節子主截面的三維圖像曲線進行擬合處理，從而在計算機上實現節子的分佈與形態的再現，達到研究節子的空間形態和分佈規律的目的。
  10. Users plot a coarse outline of video objects in the graphic user interface ( gui ) using the mouse at the first step, then fill the outline to obtain a binary model, using seed growing and wavelet edge correct the outline. in tracking video objects, we obtain an initial segmentation uses motion information and the model of previous frame, and correct by the information of space. finally, we obtain an accurate segmentation

    利用視覺系統的周邊抑制機制對模板外的象素進行屏蔽，消除背景影響，由自動閾值選取的小波邊緣提取獲得視頻對象的邊界，利用種子生長法進行輪廓擬合，由最短路徑法校正模板，在進行視頻對象的跟蹤時，利用運動信息和上一幀的模板，得到一個初始分割，利用空間信息對邊界象素調整，最後得到精確分割的視頻對象。
  11. In temporal segmentation a statistical model is used to automatically separate the moving areas from the background in a general video sequence. the spatial segmentation bases on the results of temporal segmentation and using region - growing algorithm in rgb space can locate precise boundary of moving object. lastly, using segment moving object as the initial model, moving object can be tracked by matching an image to a model based on hausdorff distance on a sequence of video, and the model is updated every frame to accommodate for changes in shape

    時間分割中採用連續幀間差的統計假設檢驗，確定運動對象的位置，自動地分離出運動區域與背景區域；空間分割中則採用基於顏色的區域增長演算法來精確地提取運動對象的輪廓；最後，將提取到的運動對象作為模板，對后續的視頻序列，用基於hausdorff距離度量匹配，來跟蹤並提取后續幀中運動對象。
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