靜止背景 的英文怎麼說

中文拼音 [jìngzhǐbēijǐng]
靜止背景 英文
static background
  • 靜 : Ⅰ形容詞1. （安定不動; 平靜） still; calm; motionless 2. （沒有聲響; 清靜） silent; quiet Ⅱ名詞（姓氏） a surname
  • 止 : Ⅰ動詞1. （停止; 攔阻） stop; cut out 2. （截止） close; end Ⅱ副詞（僅; 只） only; just Ⅲ名詞（姓氏） a surname
  • 背 : 背動詞1. （用脊背馱） carry on the back 2. （擔負） bear; shoulder
  • 景 : Ⅰ名詞1 （風景; 景物） view; scenery; scene 2 （情形; 情況） situation; condition 3 （戲劇、電影的...
  • 靜止 : static; motionless; at a standstill
  • 背景 : （布景; 襯托主體事物的景物; 對人物、事件起作用的歷史條件或現實環境） background; backdrop; setting
  1. A good composed view on this town with the river and the bridge in the foreground and the mountains towards a deep blue sky in the background

    不錯的靜止角度，這個城鎮河流和橋為前景，而山脈和深藍的天空為背景
  2. Although the pace is slow, you ll never find the movie boring as park would keep your eyes busy with a lot of beautifully designed compositions and a series of visually stunning images. there are a lot of long shots in the movie, the characters are always placed in the background while the miniatures in the foreground. each composition is like a piece of oil painting that is worth to enjoy separately on its own

    編導在片中喜把演員放在遠處的背景，而景物在前，鏡頭大多靜止不動，形成一幅幅有趣的構圖，每一個鏡頭都像一幅油畫一樣，都可以分開來欣賞，甚富藝術性，也令人想起香港王家衛的電影。
  3. Then the noise is removed by means of the variance that is estimated directly from the median of the noise. finally, an auto - detection is made for the motion displacement from the difference image undergone the above pre - processings

    本文給出的方法以散射圖去除光照影響和靜止背景，用噪聲的中位數直接估計其方差，從而去除噪聲，檢測出由運動引起的變動，最後自動檢測運動距離。
  4. 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

    靜止背景中目標檢測和跟蹤方面，本文在前人大量工作的基礎上，總結了成熟的靜止背景中目標檢測演算法，試驗對比了瞬時差分法和自適應背景相減法，提出並實現了一個基於自適應背景相減法和卡爾曼濾波的自動目標檢測和跟蹤系統。
  5. There are many reports in the first type and these reports mostly base on frame subtraction and background modeling

    靜止背景運動檢測現有研究較多，主要是採用幀間差法和背景建模法。
  6. Serial images can be divided into two types by which background is still or moving

    由運動目標所形成的圖像序列可分為兩種情況：一種是靜止背景，一種是運動背景。
  7. In this paper we use the gait database which each sequence has only one person walk in the same background. two background modeling methods are studied : rgb and gray, comparing the two methods, we chose the first which is more effective

    首先，從步態序列圖像中檢測步態，本文採用的是靜止背景下的單人步態數據庫，研究了rgb空間和灰度背景建模方法，經過性能比較我們選取了前者。
  8. Considering the weakness of the optic flow approach, we give an improved object detection and segmentation method in the moving background case. afterwards, two practical factors, which bring negative effects, are discussed in detail : lighting variation and camera dithering

    在對靜止背景情況充分研究的基礎上，本文著重分析了基於光流估計的運動背景目標檢測和分割方法，並對光流估計精度不高時的目標檢測和分割提出改進方案。
  9. Multi - motion object detection and tracking under fixed background on the condition of fixed background, mainly techniques are motion region extractions, feature description, feature recognition and moving analysis. as for the motion regions extraction techniques, one commonly used method in most papers is called adjacent difference or optical flow field iterations

    本文圍繞視頻序列處理技術進行以下研究：一、靜止背景下多目標運動檢測與跟蹤場景不變條件下多目標運動檢測分析，可分為多目標區域提取、目標特徵描述、特徵識別、運動分析等幾部分構成。
  10. 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。
  11. All of these improvements have been implemented. dct - based block image coding has always suffered due to block artifacts in the compressed image caused by individually processing blocks

    可視電話中的視頻序列一般場景變更較少，背景大多數時是靜止的，目標的運動量不太大。
  12. The algorithm can effectively separated the small moving target from the rela - tively stationary backgrond according to the differences among the small moving target, back ground interference and noise by inhibiting the background and enhancing the target

    這種演算法根據運動小目標，背景干擾和噪聲在圖象序列中的差異，能夠抑制背景，增強小目標並將其從相對靜止的背景中有效地分離出來。
  13. Our work is focused on the image processing module ( ipm ), where license locating and character recognition are realised. to locate the license plate, we take the two - step strategy. in the first step, the static background is extracted, as a result, a general car picture is got. in the second step, the license plate is located accurately. in step one, the backgroud picture is dynatically fixed. the substraction between car image and background image is redefined to make the proess more effectively

    首先，從圖片中消除靜止的背景圖像，得到汽車的模糊輪廓；其次，實現牌照的第二次定位，即實現牌照的精確定位。在牌照的初步定位中，我們採取了將動態確定背景圖片，將待識圖片和背景圖片相減的方法。在圖片相減過程中，提出了自己的改進方法，簡化運算，提高了效率。
  14. 3. based on the unattended grounded sensor networks, the sensor configuration for a static target and moving targets are discussed, which show that sensors distributed uniformly on a circle is suitable for sensor networks initialization

    以無人監視地面傳感器ugs網路系統為背景，分析了針對靜止目標的點優化布局和針對運動目標的面優化布局，得到了傳感器均勻地分佈在圓周上是較好的網路初始化布局的結論。
  15. Their advantage and disadvantage also with the field they fit are pointed out in this paper. with the background modeling method, a system of detection and tracking moving target for the static camera is realized there. the approach that is presented in this paper is applied to this system and gets a preferable result

    在靜態背景運動檢測中利用背景建模的方法，實現了一個在靜止攝像機下的運動檢測與跟蹤系統，並將本文中提出的用於解決虛目標問題的演算法應用於該系統中，取得了較好的效果。
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