Description: 运用差分法将动态图像序列的背景重建 用少数的帧就能建立一幅不包含运动目标的背景-The use of finite difference method will be the background of the dynamic image sequence reconstruction by a small number of frames to create a moving target does not contain background Platform: |
Size: 6144 |
Author:望哭 |
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Description: 利用帧之间的不同，对video进行处理，提取出移动的物体。这是非常简单使用的一种方法-The difference between the use of frames of video are processed to extract moving objects. This is very simple to use a method Platform: |
Size: 1024 |
Author:孙灿 |
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Description: Atomizer is a package of Matlab routines for atomic decomposition of 1-d signals in various dictionaries. The atomic decomposition techniques include Basis Pursuit, the Method of Frames, the Best Orthogonal Basis method for wavelet packets/cosine packet dictionaries, and Matching Pursuit. Platform: |
Size: 324608 |
Author:Galilleo |
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Description:
Edge Detection
This demo finds the edges of objects in a video stream using the Prewitt method. You can double-click the Edge Detection block and adjust the Threshold parameter while the simulation is running. The higher you make the threshold, the smaller the amount of edges the demo finds in the video. This demo also illustrates how to use the Compositing block to overlay the edges on the original video frames. Platform: |
Size: 6144 |
Author:radim.rh |
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Description: 该程序功能是实现对道路流动车辆统计。小模块功能有以下几个：1，对视频解帧并显示。2，对该视频训练背景图片。 3，利用背景图片用减背景法对测试视频进行前景提取，并进行阈值处理，图像分割，找出流动车的连通域。 4，对车辆进行统计。程序包内含有界面说明，以及程序使用的步骤和相关注意事项-The program function is to achieve movement of vehicles on the road statistics. A small module function has the following: 1 solution for video frames and displayed. 2, the video training background image. 3, using the background image used by the background method of testing the prospects for video extraction, and conduct threshold processing, image segmentation, to identify mobile car-connected domain. 4, vehicle statistics. Interface package contains instructions and procedures related to the use of the steps and considerations Platform: |
Size: 11650048 |
Author:徐飞 |
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Description: 利用级联SVM的人体检测方法从图像中检测出人体是计算机视觉应用中的关键步骤。通过一个由简到繁的级联线性SVM分类器将级
联拒绝的机制与梯度方向直方图特征相结合,实现了一个准确和快速的人体检测器,整个检测器由级联的线性
SVM分类器组成。实验结果表明,在保持Dalal算法检测准确性的同时,大幅的提高了检测速度,每秒平均可以处
理12帧左右的320 ×240的图像。-Human detection using cascade SVM method detected from the images of computer vision applications, the human body is a key step. From the simple to the complex through a cascade of linear SVM classifier with the cascade mechanism of rejection combined histograms of oriented gradients to achieve an accurate and rapid detection of the human body, the detector by a cascade of linear SVM classifier component. The results show that the accuracy in maintaining Dalal algorithm to detect the same time, substantially increase the detection rate of 12 frames per second on average can process about 320 × 240 image. Platform: |
Size: 482304 |
Author:lilin |
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Description: Abstract: The optimal number of cluster heads is an important parameter of wireless sensor network performance. Network nodes will consume more energy if the number of cluster heads is too much or too little. This paper focuses on novel calculation method for ptimal number of cluster heads. Base on the analysis of LEACH energy dissipation model,novel lation method is derived from the total energy dissipation of a round. Simulation shows the
relationship of the optimal number of cluster heads, the number of frames in steady state phase and the distance between cluster heads and base station (BS).And it provides a theoretical basis for calculation of optimal number of cluster heads which can reduce
the energy consumption among nodes and achieves
an improvement on the network lifetime. Platform: |
Size: 260096 |
Author:Amir |
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Description: 使用相位相关法对视频中的两帧图象进行预测编码，画出运动场并求出峰值信噪比-Using the method of relevant video phase two frames image coding, predicting playground and peak value signal-to-noise ratio Platform: |
Size: 3072 |
Author:jiangxin |
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Description: 实验名称：随机数产生实验
功能描述：通过简单的IO操作和延时控制，实现随机跑马灯效果。
实验目的：熟悉简单IO操作。
理解位操作的概念和操作方法。
了解人眼对显示的分辨能力。
学习随机数产生函数的使用。
实验说明：MCU--M128
内部8M晶振
自行修改延时可以改变跑马灯的变幻速度，注意当变换速度超过25帧/秒时，人眼将无法分辨。
硬件连接：插上LEDEN（JMP15）的跳线帽。-Experiment name: experimental random number generator function description: simple IO operations and delay control, to achieve random marquee effects. Purpose: familiar with the simple IO operations. Understanding the concept of bit operation and method of operation. Understanding of the human eye on the display resolution. Learning the use of random number generation function. Experiment Description: MCU- M128 8M crystal modify the internal delay of the changes can change the ticker speed, pay attention to when the conversion rate of more than 25 frames/second, the human eye can not detect. Hardware connection: Plug LEDEN (JMP15) jumper cap. Platform: |
Size: 13312 |
Author:octopuszy |
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Description: 利用背景平均法，帧间差分法进行目标跟踪。还有基于Mean Shift的复杂背景的运动目标跟踪方法。-利用背景平均法，帧间差分法进行目标跟踪。还有基于m...
Using the method of average background, two consecutive frames subtraction method for target tracking. There are complex background based on mean shift method of moving target tracking.
Platform: |
Size: 3968000 |
Author:白嘉盈 |
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Description: matlab语言，基于测算视频帧之间欧拉距离的方法来进行关键帧提取操作-matlab language, based on the method of measuring the distance between video frames Euler keyframe extraction operation Platform: |
Size: 1024 |
Author:邹楠 |
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Description: 本书介绍广泛应用的人工智能技术——模式识别及其应用的最新进展，收集了世界一流的模式识别、人工智能和生物特征识别技术领域专家编写的31章内容，涵盖模式识别与机器智能、计算机视觉与图像处理、人脸识别与取证、生物特征身份验证等多方面结合的研究。其应用跨越多个领域，从工程、科学研究和实验，到生物医学和医学诊断，再到身份认证和国土安全。此外，《本书还介绍了人类行为的计算机建模和仿真。-Insights into a pattern-based method of trading that can increase the likelihood of profitable outcomes
While most books on chart patterns, or pattern recognition, offer detailed discussion and analysis of one type of pattern, the fact is that a single pattern may not be very helpful for trading, since it often does not give a complete picture of the market.
What sets Trading Between the Lines apart from other books in this area is author Elaine Knuth s identification of sets of patterns that give a complete analysis of the market. In it, she identifies more complex chart patterns, often several patterns combined over multiple time frames, and skillfully examines these sets of patterns called "constellations" in relation to one another. These constellations turn sets of individual patterns into a more manageable set of patterns, where the relationship between them can lead to tactical trading opportunities.
Shows how to apply complex patterns to specific trades and identify o Platform: |
Size: 6689792 |
Author:张学涛 |
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Description: 本设计是是连续三帧法与别背景法相结合的运动目标检测程序，能很好的实现，-This design is a continuous three law Combination with other background moving target detection procedures, can achieve good, Platform: |
Size: 6144 |
Author:司明飞 |
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Description: In this paper, we propose a new method that use
side view video pre-processing with DWT-SVD based water-marking scheme. This processing switch the video references
of the frames with dimensions equivalent of the number of
frames like width and the same height than the original video.
The DWT-SVD watermarking is applied in. Platform: |
Size: 137216 |
Author:vijay |
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Description: 本设计是是连续三帧法与别背景法相结合的运动目标检测程序，能很好的实现，-This design is a continuous three law Combination with other background moving target detection procedures, can achieve good, Platform: |
Size: 7168 |
Author:arData |
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Description: 该算法利用随机置乱的方法将水印信息进行置乱，对选定的视频帧先进行DWT变换，然后对得到的逼近子图进行DCT变换，最终将置乱后的水印信息嵌入到直流分量-The algorithm uses the method of random scrambling the watermark information is scrambling to be first selected video frames DWT transform, and then the resulting approximation diagram DCT, eventually scrambled watermark is embedded into the DC component Platform: |
Size: 2048 |
Author:吕岩 |
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Description: 三帧差分算法是相邻两帧差分算法的一种改进方法，它选取连续三帧视频图像进行差分运算，消除由于运动而显露背景影响，从而提取精确的运动目标轮廓信息。该算法的基本原理是是先选取视频图像序列中连续三帧图像
并分别计算相邻两帧的差分图像，然后将差分图像通过选取适当的阈值进行二值化处理，得到二值化图像，最后在每一个像素点得到的二值图像进行逻辑与运算，获取共同部分，从而获得运动目标的轮廓信息。-Three differential algorithm is an improved method of two-frame difference algorithm adjacent, it selected three consecutive frames of a video image difference operation, eliminate the effects of the movement and reveals the background to extract precise moving object silhouette information. The basic principle of the algorithm is to select a video sequence of three consecutive frame images
And calculating a difference image of two adjacent frames, respectively, then the differential image obtained by selecting the appropriate threshold binarization processing to obtain a binarized image, the final binary image obtained at each pixel and performs a logical operation to get together parts, thereby to obtain contour information of the moving object. Platform: |
Size: 4022272 |
Author:陈斌 |
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Description: 为了解决空域特征与时域特征只能片面地表征视频内容的问题,提出了一种基于时空代表帧序列的视频近拷贝检测方法.-In order to solve the spatial and temporal characteristic features only one-sided characterization of video content problem, a video copy detection method in recent temporal sequence of frames based representatives. Platform: |
Size: 543744 |
Author:elisa |
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Description: 这是KLT算法论文的高清版。Kanade-Lucas-Tomasi方法，在跟踪方面表现的也不错，尤其在实时计算速度上，用它来得到的，是很多点的轨迹“trajectory”，并且还有一些发生了漂移的点，所以，得到跟踪点之后要进行一些后期的处理，说到Kanade-Lucas-Tomasi方法，首先要追溯到Kanade-Lucas两人在上世纪80年代发表的paper：An Iterative Image Registration Technique with an Application to Stereo Vision，这里讲的是一种图像点定位的方法，即图像的局部匹配，将图像匹配问题，从传统的滑动窗口搜索方法变为一个求解偏移量d的过程，后来Jianbo Shi和Carlo Tomasi两人发表了一篇CVPR(94 )的文章Good Features To Track，这篇文章，主要就是讲，在求解d的过程中，哪些情况下可以保证一定能够得到d的解，这些情况的点有什么特点（后来会发现，很多时候都是寻找的角点）。-KLT is an implementation, in the C programming language, of a feature tracker for the computer vision community. The source code is in the public domain, available for both commercial and non-commerical use.
The tracker is based on the early work of Lucas and Kanade [1], was developed fully by Tomasi and Kanade [2], and was explained clearly in the paper by Shi and Tomasi [3]. Later, Tomasi proposed a slight modification which makes the computation symmetric with respect to the two images-- the resulting equation is derived in the unpublished note by myself [4]. Briefly, good features are located by examining the minimum eigenvalue of each 2 by 2 gradient matrix, and features are tracked using a Newton-Raphson method of minimizing the difference between the two windows. Multiresolution tracking allows for relatively large displacements between images. The affine computation that evaluates the consistency of features between non-consecutive frames [3] was implemented by Thorsten T Platform: |
Size: 789504 |
Author:王凯 |
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Search - Method Of Frames