contour tracking 中文意思是什麼
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Two observation models ( color and gradient ) targeting the head contour are added to work together with the face detector in head tracking
在人臉跟蹤擴展為頭部跟蹤時，加入兩個針對頭部的觀測模型（色彩信息和輪廓信息） ，與人臉檢測器共同指導跟蹤。 -
In the thesis, the algorithm of background subtracting, frame difference algorithm, motion estimation based on optical flow field and object tracking based on active shape contour are investigated
本文研究了背景相減演算法、差分法、基於光流場的運動估計和基於主動形狀模型的目標跟蹤演算法。 -
Visual analysis of human motion has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years. it has a lot of applications in virtual reality, smart surveillance system, advanced user interface, motion analysis and video compressing, etc. this paper focuses on the technology of human motion tracking based on video, first, we make a summarization of the domestic and overseas status of the research in this field. on the basis of this, we analyse the technical difficulties of human motion tracking. as most of the existing model - based methods of human motion tracking perform not so good in some situation as they need mannual intervention, and also the precision of tracking is not so satisfying during the research of tracking of walking people because of the self - occlusion of legs, this paper proposes an algorithm of automatic detection and tracking of legs of the walking people based on monocular image sequences, in which we analyse the features of walking people, track the five joints of lower limbs, get various parameters, and then re - construct the walking process. the main research achievement is as follows : 1 ) we propose an algorithm of markerless automatic extraction of leg skeleton. first we divide the video into continuous image sequences, after background subtraction, the satisfying human region could be extracted, then we get a single - connected region by converting the rgb image to binary image and median filtering. afterwards, the contour of lower limbs in the frame with a widest boundingbox is detected, using sobel operator, to find the ankle joint of leg behind according to the features and rules of walking, then, the joint of knee of leg behind, hip, ankle of leg in front, knee of leg in front could be got in turn. so, model of leg skeleton is constructed
首先將視頻分解成許多連續的靜態圖像幀，經過背景去除，把感興趣的人體區域提取出來，通過二值化，中值濾波等預處理方法得到只有人體的一個單連通區域，然後用sobel運算元檢測出boundingbox最寬幀中人體下半身的輪廓，根據運動規律及特徵找到後腿踝關節點，結合從boundingbox最窄幀中所獲取的腿長依次得到後腿膝關節，跨部關節，前腿踝關節，前腿膝關節四點，從而構建出腿部骨架模型。 2 ）實現了人體步行腿部骨架的跟蹤演算法。在完成對腿部骨架模型的自動初始化之後，本文對跨關節、膝關節及踝關節分別採用運動建模、圓周相交定點演算法、運動預測及預測點周圍搜索rgb相似矩形塊三種方法確定每一幀中其實際坐標，從而重構出腿部骨架的運動過程。 -
In this paper a system for segmenting and tracking the objects from sequences is designed. this system is mainly made up of three parts that are the motion estimation giving out the motion vectors, the edge detection finding the edge points and contour and the deformable contour achieving the segmentation and tracking for the objects
本文設計了一種基於可變輪廓的序列圖像的分割和跟蹤系統，該系統主要由三個部分組成：運動估計給出運動向量，邊緣點輪廓提取得到圖像的邊界圖和外輪廓，而可變輪廓分割方法實現目標分割和跟蹤。 -
The paper further discusses the technique about measuring the shape and chroma of cell. on the basis of the existed technology, the paper perfects the arithmetic of target recognition and contour tracking and enables it to measure several kinds of parameters. the paper also brings forward several indexes to measure cells, which is of instructive meaning to cell segmentation
論文還進一步探討了有關細胞形態及色度測量的技術，在原有的技術基礎上完善了目標識別及輪廓跟蹤的演算法，使之可以測定多種參數，並提出了多項衡量細胞特徵的指標，對細胞分類具有重要的指導意義。 -
A tag tracking method based on improved active contour model and optical flow
基於改進的主動輪廓模型及光流估計的標記線跟蹤 -
Meanwhile, objective to the requirement of both real - time and accuracy for moving shaped target detect and tracking, a novel method is proposed based on combination of images difference and feature invariant. the paper improved the tradition difference method, constituted a feature invariant which characterized the object contour without influence of object ’ s size change, shifting, and rotation, and developed a dynamic - extremum - matching scheme
同時，針對識別跟蹤具有形狀信息的大飛行器目標所提出的快速準確要求，提出了一種基於改進的差分演算法與特徵不變量匹配的目標識別方法，彌補了傳統圖像差分方法的不足，構造了一個具有平移、大小和旋轉不變性的特徵不變量用於識別目標，並研究出一種動態極值匹配方案。 -
In tracking section, we still adopt the snake to converge on the object contour by improving the energy functions, in the tracking frame, initial points are acquired by calculating the average inter - frame motion vector of the block, because all snaxels have approximately the same motion vector as the moving object is proposed to be rigid and have no salient deformation
跟蹤部分：根據剛體運動的特點（運動區域具有一致性和不發生較大的形變）求出運動目標的平均位移矢量，與在分割部分求出的目標的輪廓點的位置相加，作為下一幀跟蹤的初始輪廓點，結合改進的snake能量函數使其更精確地收斂到運動目標輪廓上，達到準確跟蹤的效果。 -
Contour tracking of motion objective has become one of the key subjects of computer vision
運動目標邊界跟蹤已經發展成計算機視覺研究的核心課題之一。 -
( 2 ) two experiments for this system are done : one is about system accuracy testing, another is label - based human motion analysis. ( 3 ) in active contour based tracking, segmentation and tracking of video moving object is used for guiding the extraction of video object plane from the video sequence. this dissertation describes spatio - temporal information to automatically segment and track video moving objects
（ 2 ）對這個系統進行實驗測試和結果分析；首先進行了系統精度測試實驗，結果表明此系統可以用於人體運動分析，然後進行了有標志點人體運動分析的實驗測試，方法是將標志點貼在手腕上進行運動，結果得到手腕運動的三維運動軌跡，最後進行結果分析。 -
( 2 ) secondly the image after segmentation has many small grains. lines of numbers might connect short lines and might take place breakpoints. therefore binary image need amendment. this text adopts the tracking contour method of tracking contour by which grains areas is calculated and is well wiped off small grains
（ 2 ）二值化的身份證號碼圖像，會留下一些小的顆粒單元，號碼線條也可能連有網格短線或發生斷裂，對二值化后的號碼圖像進行修正。利用計算顆粒單元面積的方法對孤立單元進行去除。 -
Motion tracking of coronary vessel segment based on active contour model
基於活動輪廓模型的冠狀動脈血管段運動跟蹤 -
Active contour model tracking algorithm based on moment features prediction
基於矩特徵預測的主動輪廓跟蹤演算法 -
Edge detection and contour tracking are very important in computer vision. because the single pixel edges are needed in computer vision, an algorithm of edge detection and contour tracking is proposed using the good local character and multi - scale character of wavelet transform in the dissertation. the fuzzy algorithm is applied to pick the model maximum points, so that the single pixel edge can be obtained
邊緣檢測和輪廓跟蹤在計算機視覺中有著重要的地位，利用小波變換良好的時頻域局部化特性和多尺度特性，針對計算機視覺中需要提取單像素的點線等邊緣的需求，本文提出了一種基於小波變換的邊緣檢測和輪廓跟蹤演算法，通過真正的邊緣點是模的局部極值點這一特點，應用模糊演算法對模極大值點進一步篩選得到單像素級的邊緣，並在邊緣跟蹤時，有效利用原圖像的信息，通過在小鄰域內尋找局部峰值對丟失弱邊緣進行了補償。 -
In this paper, we propose a new simple and effective system of segmentation and tracking of moving object in a stationary complex background. in this system, we combine the merits of motion detection based on blockmatching algorithm and the object segmentation based on active contour ( snake ), and get a satisfied result through the testing of a serious of different video pictures
在眾多的分割和跟蹤方法中，本文將研究對象定位在具有一定復雜背景下單個平移運動的剛體，結合基於塊的運動檢測和主動輪廓模型分割目標的優點，提出了一個簡單而有效的復雜背景下運動目標分割與跟蹤系統，並取得了良好的效果。 -
However, in the fields of edge extraction and contour tracking for low snr images, most existing algorithms become powerless
目前，在低信噪比圖像序列的邊緣提取與運動跟蹤的研究領域，現有的大部分演算法很難得到滿意的結果。 -
Finally in the edge extraction of high noise picture and the contour tracking of low snr image series, this method has received relatively satisfied result
最終在高噪聲圖像及低信噪比圖像序列跟蹤中，該方法得到了比較滿意的結果。 -
During the stage of image analysis, contour tracking is used for the recognition and extraction of the edge element. then it is saved by means of the data structure “ chain code ”. the shape of the contour can be recovered wholly by the chain code
在圖像分析階段，採用跟蹤技術來進行邊素的識別和提取，並引入了「鏈碼」這一數據結構對其進行表示和存儲，由該鏈碼可以完全恢復出所獲輪廓的幾何形態。 -
Based on developing of vision recognition system of micro - robot world cup soccer tournament, this dissertation is devoted to investigating some related techniques in computer vision, which include edge detection and contour tracking, conventional calibration techniques, self - calibration techniques, implicit calibration based on artificial neural networks
本文以足球機器人視覺識別系統的開發為主要的工程應用背景，對邊緣檢測和輪廓跟蹤演算法、傳統標定技術、自標定技術、隱式標定技術等相關技術進行深入研究。
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