background subtraction 中文意思是什麼
background subtraction
解釋
本底扣除- background : n 1 後景，背景；基本情況；（紡織品等的）底子；出身；經歷。2 隱蔽的[不引人注目的]地位；幕後。3 襯...
- subtraction : n. 減去，扣除 （from）; 【數學】減法。
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Moving objects detection and tracking based on two consecutive frames subtraction background model
基於幀間差分背景模型的運動物體檢測與跟蹤 -
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。 -
Motion detection for human bodies basing adaptive background subtraction by using an omnidirectional camera
基於自適應背景模型的全方位視覺人體運動檢測 -
This thesis mainly focuses on the application of video surveillance based on background subtraction under immovable scenes, specifically including motion detection, background model, shadow detection and motion estimation
內容涉及運動檢測方法及應用、背景模型選擇及建立、陰影的檢測和識別以及運動估值幾個方面。 -
The main work is as follows : 1. firstly, video images are pretreated through segmenting regions corresponding to objects then tracking them after self - adaptive background subtraction and noise wiped
主要工作如下: 1 .首先，對輸入圖像進行預處理，採用自適應高斯背景模型方法提取出運動的前景區域，對前景圖像進行去噪，分割處理，確定目標區域並對目標進行跟蹤。 -
Through analyzing actual traffic scene, especially considering the video change between adjoining frames, this paper presents a robust and real - time method for extracting and updating background, and realizes the algorithm of vehicle detection based on background subtraction
摘要通過對交通場景實際情況的分析，特別是考慮到視頻在相鄰幀之間的變化，提出了一套魯棒、實時的背景提取及更新演算法，實現了基於背景差分演算法的車輛檢測和提取。 -
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。 -
On the foundation of past research, author put forward a single - object tracking and detection algorithm based on background subtraction algorithm and a multi - object cooperative tracking and detection algorithm based on three layers dynamic interaction system, to implement credible unmanned active - scene detection and consecutive, real - time, concerted multiple active object tracking
在前人研究的基礎上，引入了基於背景差分演算法的單目標入侵檢測及跟蹤演算法和基於三層動態交互體系的多目標協調跟蹤演算法，真正實現在無人狀態下對運動場景進行可靠的監控，對多運動目標進行連續、實時、協調的跟蹤。 -
The background subtraction method is used to retrieve the foreground, and the mixture gaussian model is used to model the background, during the modeling, the improved k - means algorithms is applied to improve the speed of background modeling ; 2. in the process of the background updating, the updating algorithms based on statistical average is used to update the background, compared to the traditional background updating methods, it improves the speed of the background updating ; 3. to solve the problem that the detection method based on gaussian shadow model detects the shadow inaccurately under some situations, a novel algorithm based on the body color vector matching is presented to detect and eliminate the shadow
本文在總結和分析了國內外相關研究工作的基礎上，針對運動物體檢測與提取中如何檢測與提取前景區域以及如何檢測與去除陰影的問題開展研究，其主要研究內容和成果如下: 1 .採用背景減除法提取前景區域，利用混合高斯模型進行背景建模，建模過程中，引入了改進的k -均值演算法，加快了背景建模的速度，提高了背景建模的質量; 2 .在背景更新的過程中，採用了基於統計平均的更新演算法，相對于傳統的背景更新方法，提高了背景更新的速度; 3 .針對運動物體陰影檢測與去除中，基於高斯陰影模型的陰影檢測方法在某些情況下對陰影檢測不準確的問題，提出了一種基於體色向量匹配的陰影檢測與去除演算法。 -
Standard guide for background subtraction techniques in auger electron spectroscopy and x - ray photoelectron spectroscopy
螺旋電子光譜法和x射線光電光譜法中減去背景技術的標準指南 -
Second, the foreground area is obtained by background subtraction, viz
其次，利用背景差分法提取運動人體輪廓。 -
An improved background subtraction using adaptive gaussian mixture models
一種改進的基於混合高斯分佈模型的自適應背景消除演算法 -
Background subtraction was used for detecting moving vessels in dock video images
摘要通過背景差法對碼頭視頻圖像中的運動船隻檢測。 -
On the basis of the former work, we improve the background subtraction algorithm
在前人工作基礎上，改進了背景更新演算法，提高了演算法實時性。 -
A novel background subtraction method using hsv color space and integrating temporal difference is proposed
本文首先提出一種新的背景減除方案，它運用hsv色彩方案，結合時間差分方法檢測運動區域。 -
A background subtraction method based on a difference of intensity and edge detection of chromaticity utilized to segment the moving regions
應用基於灰度差分和色度邊緣提取的演算法來提取運動目標。 -
At last background subtraction was used to detect objects in frame, the algorithm can overcome the mistake and imperfection which were appeared in old moving object detection algorithm
由於該方法提取的背景干凈，故能有效克服以往檢測演算法存在的誤檢和空洞問題。 -
It analyzes the common method of detecting objects, and presents a algorithm of detecting objects which combine background subtraction with time difference to improve the performance of detecting
分析了目標檢測的常用方法，提出將背景減除與時間差分方法結合的檢測目標方法，提高了目標檢測準確性。 -
Drawn on such technologies and research of moving object detection as optical flow method, frame difference method and background subtraction method, this thesis proposes, based on the theory of statistic denoise, a new method of achieving background. compared with other methods of achieving image background, this approach can simultaneously achieve and update background
在對光流法、幀差法和背景減法的運動檢測技術研究的基礎上，本文提出了一種基於統計降噪原理的運動目標背景提取方法，與其它獲取圖像背景的方法相比較，此方法可同時完成背景的獲取和更新。 -
Background subtraction is a commonly used moving objects detection method, it subtracts the background model which is stored beforehand or observed in time from the current frame, by threshold operation getting moving objects
減背景技術是一種常用的運動對象檢測方法，其基本思想是將視頻中當前幀圖象與事先存儲的或實時得到的背景模型相減，通過閾值操作，得出運動區域。
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