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Description: Visual tracking is one of the key components for robots
to accomplish a given task in a dynamic environment,
especially when independently moving objects are included.
This paper proposes an extension of Adaptive
Visual Servoing (hereafter, AVS) for unknown moving
object tracking. The method utilizes binocular stereo
vision, but does not need the knowledge of camera parameters.
Only one assumption is that the system
need stationary references in the both images by which
the system can predict the motion of unknown moving
objects. The basic ideas how we extended the AVS
method such that it can track unknown moving objects
are given and formalized into a new AVS system. The
experimental results with proposed control architecture
are shown and a discussion is given.
Platform: |
Size: 480384 |
Author: xjwu |
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Description: Visual tracking is one of the key components for robots
to accomplish a given task in a dynamic environment,
especially when independently moving objects are included.
This paper proposes an extension of Adaptive
Visual Servoing (hereafter, AVS) for unknown moving
object tracking. The method utilizes binocular stereo
vision, but does not need the knowledge of camera parameters.
Only one assumption is that the system
need stationary references in the both images by which
the system can predict the motion of unknown moving
objects. The basic ideas how we extended the AVS
method such that it can track unknown moving objects
are given and formalized into a new AVS system. The
experimental results with proposed control architecture
are shown and a discussion is given.
Platform: |
Size: 480256 |
Author: xjwu |
Hits:
Description: Stereo Vision is an area of study in the field of Machine Vision that attempts to recreate the human vision system by using two or more 2D views of the same scene to derive 3D depth information about the scene.
Depth information can be used to track moving objects in 3D space, gather distance information for scene features, or to construct a 3D spatial model of a scene.
As an emerging technology, Stereo Vision algorithms are constantly being revised and developed, and as we will discuss in this paper, many alternative approaches exist for implementation of a Stereo Vision system.
This paper introduces Stereo Vision as an area of current international research, presents some interesting applications of Stereo Vision, and discusses implementation of a Stereo Vision system.
Platform: |
Size: 1171456 |
Author: jtz00000 |
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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
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Size: 789504 |
Author: 王凯 |
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Description: VC立体声文件(AVI)播放并录音的程序在录音时先录制立体声的.wav文件，然后再将声道分离、分别保存-VC stereo file (AVI) playback and recording procedures in the recording of the first stereo recording of the.Wav file, and then separate the sound track, respectively, save
Platform: |
Size: 15360 |
Author: zhch2t |
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Description: From stereo wave file, respectively, the voice of the left channel and right track data is put forward
Platform: |
Size: 1882112 |
Author: Pepeefpr |
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Description: 从立体声的wave文件中分别提出左声道和右声道的声音数据-From stereo wave file, respectively, the voice of the left channel and right track data is put forward
Platform: |
Size: 1882112 |
Author: Pepeefpr |
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Description: 从立体声的wave文件中分别提出左声道和右声道的声音数据-From stereo wave file, respectively, the voice of the left channel and right track data is put forward
Platform: |
Size: 2648064 |
Author: cxlljqtskn |
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Description: 从立体声的wave文件中分别提出左声道和右声道的声音数据-From stereo wave file, respectively, the voice of the left channel and right track data is put forward
Platform: |
Size: 1882112 |
Author: cxlljqtskn |
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Description: 从立体声的wave文件中分别提出左声道和右声道的声音数据-From stereo wave file, respectively, the voice of the left channel and right track data is put forward
Platform: |
Size: 1882112 |
Author: cxlljqtskn |
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Description: 它是把四声道立体声在录制时通过特定的编码手段合成为两声道，即将原来的左声道（L）、右声道（R）、中置声道（C）、环绕声道（S）的4个信号，经编码后合成为LT、RT复合双声道信号，重放时通过解码器将已编码的双声道复合信号LT和RT还原为编码的左、右、中、环绕四个互不干犹的独立信号，经放大后分别输入左音箱、右音箱、中置音箱和环绕音箱。(It is the four track stereo recording by means of encoding specific synthesis is two channel, to the left and right channel (L) (R), middle channel (C), surround channel (S) of the 4 signals, after encoding for the synthesis of LT, RT double channel signal playback when the decoder will have encoding two channel composite signal LT and the reduction of RT to encoding the left and right, surrounded by four mutually independent signals and stem, enter the left speaker, right speakers, speakers and surround speakers after amplification.)
Platform: |
Size: 39936 |
Author: 悠悠晓景
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