幀檢測序列 的英文怎麼說

中文拼音 [zhèngjiǎncèxùliè]
幀檢測序列 英文
fcs fame check sequence
  • 幀 : 量詞（幅, 用於字畫）
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 列 : Ⅰ動1 （排列） arrange; form a line; line up 2 （安排到某類事物之中） list; enter in a list Ⅱ名詞1...
  • 檢測 : check; detection; test; gauging; detecting; sensing; [工業] checkout; measuring
  1. ( 2 ) based on the review and analysis of typical object detection methods, especially the temporal difference, a moving objects detection algorithm based on three frame difference is proposed. this algorithm employs many new technologies, such as adaptive frame interval, half - pixel global motion estimation and compensation, adaptive change detection and object repair, therefore it is very practical

    2 .在總結常用運動目標檢測方法，並詳細討論時間差分法的基礎上，針對實地拍攝的紅外圖像序列，提出了一種基於三幀差分的運動目標檢測演算法，該演算法採用自適應幀間隔、半象素全局運動估計與補償、自適應變化區域檢測、抗噪聲形態學處理和目標修復等一系列新技術，具有很強的實用性。
  2. Moving object detection adopts a method of dynamic difference background image, whose principle is to calculate difference picture among the current frames and background images and take the motion adjudging threshold which owns maximum information entropy to determine moving area ; and dynamically updates background by using kalman filter. thus, the system realizes the judgment of the moving area under the complicated changing background

    運動目標檢測採用動態差分背景圖像法，其原理是利用序列圖像中當前幀圖像減去背景圖像，並採用使信息熵最大化的運動判決門限判定運動區域;採用kalman濾波動態背景生成實現了背景的動態更新;從而實現了復雜變化背景下圖像運動區域的判決。
  3. An algorithm for detecting moving ir point target in complex background is proposed, which is based on the reverse phase feature of neighborhood ( rpfn ) of target in difference between neighbor frame images that two positions of the target in the difference image are near and the gray values of them are close to in absolute value but with inverse sign. firstly, pairs of points with rpfn are detected in the difference image between neighbor frame images, with which a virtual vector graph is made, and then the moving point target can be detected by the vectors ' sequence cumulated in vector graphs. in addition, a theorem for the convergence of detection of target contrail by this algorithm is given and proved so as to afford a solid guarantee for practical applications of the algorithm proposed in this paper. finally, some simulation results with 1000 frames from 10 typical images in complex background show that moving point targets with snr not lower than 1. 5 can be detected effectively

    基於運動點目標在鄰幀差分圖像中所具有的近鄰反相特徵，即運動點目標的兩個位置相鄰近、灰度值一正一負，提出一種在復雜背景下，基於紅外序列圖像的運動點目標檢測演算法.本演算法利用該特徵在鄰幀差分圖像中檢測反相點對，進而構造反相點對矢量圖，最後依據累積反相點對矢量圖中多矢量首位相接的連續性檢測出運動的點目標.文中給出並證明應用本演算法能以概率1檢測到運動點目標的收斂性定理.對典型復雜背景下10幅1000幀圖像的模擬結果表明，當信噪比大於或等於1 . 5時，可以有效檢測出運動點目標
  4. Detecting algorithm based on background prediction, maximum background prediction, most similar background prediction, displacement pipeline filter, target movement characteristics algorithm based on sub - pixel analysis and the method of the contrast similarity among frames are introduced for the target detecting in single image and sequence images

    在單幀圖像和序列圖像目標檢測方面提出了基於背景預測的檢測方法，最大化背景預測方法、最相似背景預測方法、位移式管道濾波方法、基於亞象元分析的目標運動特徵演算法和目標對比度相似性的幀間目標檢測方法。
  5. Simulation has shown that the proposed scheme can achieve more accurately in similarity examination than scheme which proposed by [ 102 ]. so the bit number of coded video stream was decreased about 22. 95 percent and thus the compression ratio was improved. although the coding cost was increased about 8. 25 percent by using proposed scheme

    模擬實驗表明，與文獻[ 102 ]方案相比，提出的方案雖然增加了約8 . 25的編碼器編碼耗時，卻有效提高了對視頻序列突變幀的檢測精度，從而進一步降低編碼器端輸出編碼視頻流的比特數達22 . 95左右，在基本不影響重構視頻信息視覺質量的同時提高了編碼器的壓縮效率。
  6. The image after segmentation still has the noise and the other disturber, it is hard to detect by only one frame image. so the method by use of the relation by frame series is accepted to detect the true target

    對于經過分割以後的目標圖像，由於存在噪聲和其他干擾，因此很難利用單幀信號來實現對目標的可靠檢測，故此利用序列圖像中上下多幀的相關信息，實現對目標進行有效的檢測。
  7. The necessity and possibility to estimate and compensate camera rotation in the long focus imaging system is proposed according to characteristics of airborne imaging system. and choosing some points that have great gray levels as image characteristic to estimate motion is also given

    針對機載成像的特點，提出了長焦距攝像系統檢測和補償旋轉運動的必要與可能性以及利用選擇特徵圖像中的最大灰度值點，作為圖像特徵來估計圖像序列幀間運動的方法。
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