object detection 中文意思是什麼

object detection 解釋
對象環境
  • object : n 1 物，物體，物件。2 目標 （of; for）; 目的，宗旨。3 【哲學】對象，客體，客觀 （opp subject）; ...
  • detection : n. 1. 探知；發現，發覺；敗露。2. 【化學】檢定，檢查；【電訊】檢波。
  1. 4. an object detection method with em ( expectation maximum ) algorithm of dynamic layer representations is researched and improved. previous algorithm contains optical flow computation, affined transformation, and clustering algorithm, and it is not convenient for detecting object quickly

    4 .分析並改進了基於em （ expectationmaximum ）演算法的運動目標分層檢測演算法，早期演算法由於涉及光流場求解、仿射變換、聚類合併等復雜運算，計算量大，不適合圖像序列的快速處理。
  2. Additional objects, or asteroids not found by the moving object detection algorithm, may be measured by clicking on them, similar to the way objects have been measured in the tutorial i ( basic astrometry )

    其他目標或沒有被軟體認可發現的小行星，你也許可以用指南1中的方法來測量它們。
  3. Able to thin and thick - object detection

    能對超薄及厚型物體進行檢測。
  4. Recently, with the fast development of multi - targets identification and high resolution microwave imaging technologies, ultra - wide band radar has been more and more widely used in object imaging and object detection field

    近年來，隨著集群目標分辨識別、高分辨力微波成像雷達等技術研究的快速發展，超寬帶雷達在目標成像與目標識別領域得到了越來越廣泛的應用。
  5. ( 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。
  6. 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。
  7. The traditional linear and statistical theories can no longer satisfy the needs of advanced object detection

    傳統的線性和統計理論已經不能滿足新的目標檢測的需求。
  8. Rapid method of object detection based on color feature

    一種基於顏色特徵的快速自動目標檢測方法
  9. Moving object detection will need at least three images, because the detection algorithm would easily confuse random bumps in the background noise or image artefacts with faint, moving objects if it would rely on two images only

    移動天體檢測需要至少三張圖片，因為如果在兩張圖片中確實有小行星，那麼檢測將很容易被背景噪聲或圖片暗紋搞混亂。
  10. At last this article describes the theory of the millimeter wave object detection system and provides a project of the system in detail. this 32 - channels focal plane array imaging system operates in 8mm band. it can provide 90 15 degrees field of view, and displays the acquired image during 6 seconds in sunny and foggy

    該系統採用的是32通道焦平面陣列多波束成像體制，系統工作在8mm波段用以提供90 15視野並且在晴朗及有霧的天氣狀況下能在6秒內對周圍景物進行成像。
  11. Able to thin and thick - object - object - detection progress

    能對超薄型物體和厚型物體進型檢測。
  12. 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。
  13. 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。
  14. 3. the new object detection algorithm based on positive and negative difference maps is integrated with object tracking algorithm. this new object - tracking algorithm can detect and track objects automatically

    3 .將正負差圖像法與跟蹤演算法相結合，提出一種可以自動檢測並跟蹤運動目標的跟蹤方法。
  15. In single - object detection and tracking experiment system can track the object continually and credibly, because of the use of block matching algorithm in background matching, the system run time is reduced. in the object coherence judgment experiment, object ' s 3d

    在單目標的入侵檢測及跟蹤實驗中，對運動的目標能夠進行連續而可靠的跟蹤，並且由於在背景匹配中運用了塊匹配演算法，減少了系統運行時間。
  16. Moreover, video control program to implement internal function of fpga is designed including video capture time sequence control, ping - pang frame buffer read and write time sequence control and lcd display time sequence control, and program ' s simulation and analysis is also provided. at last, this paper presents a portable iv ' s video processing system, and proposes three buffer strategy to control capture buffer. and a moving object detection algorithm of combing an adaptive background subtraction technique with a three - frame differencing is adopted

    設計了基於fpga系統結構的車載視頻顯示電路板；利用單片機io口模擬i2c時序，實現了視頻解碼晶元控制；利用fpga實現視頻控制，研究了採集通道時序控制、雙幀存ram讀寫時序控制及lcd顯示時序控制的方法，並進行了軟體模擬和分析；設計了車載視頻檢測系統方案，給出了管理採集緩沖區的三幀緩沖策略，採用綜合三幀差分和自適應背景相減的演算法實現運動檢測，連通體檢測去除虛目標，模擬實驗證明其有效性，同時分析了該演算法在dsp視頻檢測系統中的簡單實現方法。
  17. Image processing system is a very important part of mini unmanned helicopter, which mainly dealing with how to detect the object and supply the navigation computer with location information of the object. however, the varied background and the moving of the camera make the image processing become difficult. to solve these problems, this thesis introduces an object detection algorithm based on contour retrieving, template match and hu moments invariant

    硬體組成詳細探討了系統結構，並對所採用的ccd攝像機、視頻採集卡等硬體單元作了描述；在軟體設計中，首先對不同操作系統環境下的視頻捕獲做了討論；接著，重點研究了針對機載攝像機拍攝圖像的目標檢測方法，提出並實現了基於模板匹配和不變矩的目標檢測演算法，以及基於機器學習的目標檢測演算法。
  18. In the end, we discuss the design of a prototype system facing to video analysis. and, a structural representation in the framework of xml is produced for the result of video object detection, segmentation and recognition

    在對視頻目標檢測、分割和識別演算法充分研究的基礎上，本文接下來討論了面向此類應用的系統原型設計，並基於xml框架設計了一種視頻目標檢測、分割與識別結果的結構化表示方法。
  19. Implementation of our research project - infrared moving object detection and tracking system is based on dsp with high performance and host computer

    我們的研究項目紅外運動目標識別跟蹤系統基於高性能dsp與主控計算機實現。
  20. The last topic is about a trainable object detection system using at its core a support vector machine classifier

    最後一個主題將講解支持向量機分類物中核心使用的可訓練物件偵測系統。
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