Description: Rotating shafts experience a an elliptical motion called whirl. It is important to decompose this motion into a forward and backward whil orbits. The current function makes use of two sensors to generate a bi-directional spectrogram. The method can be extended to any time-frequency distribution
%
% compute the forward/backward Campbell/specgtrogram
%
% INPUT:
% y (n x 2) each column is measured from a different sensor
% ///////
% __
% |s1| y(:,1)
% |__|
% __
% / \ ________|/
% | | | s2 |/ y(:,2)
% \____/ --------|/
%
% Fs Sampling frequnecy
%
% OUTPUT:
% B spectrogram/Campbel diagram
% x x-axis coordinate vector (time or Speed)
% y y-axis coordinate vector (frequency [Hz])
-an experience a elliptica l motion called whirl. It is important to decomp Rose this motion into a forward and backward whil orbits. The current function makes use of two se nsors to generate a bi-directional spectrogra m. The method can be extended to any time-freque ncy distribution% compute the forward/backw ard Campbell/specgtrogram% INPUT : % y (n x 2) each column is measured from a differen t sensor ///////%%% __ | s1 | y (:, 1)% | __ |%% __/\ ________|/% | | | s2 |/y (:, 2)% \ ___/_____/20__--------|/% Fs Sampling frequnecy %% OUTPUT : spectrogram% B/Campbel diagram% x x-axis coor dinate vector (time or Speed)% y y-axis coordin ate vector (frequency [Hz]) Platform: |
Size: 61440 |
Author:yupenghui |
Hits:
Description: 用于估计运动物体的运动向量,十分经典的算法-used to estimate the movement of the motion vector objects, classical algorithm Platform: |
Size: 16384 |
Author:haha |
Hits:
Description: 1. this function is for image (width=176, hight=144) only. but you can modify the related value to fit yours.
2. it is used to evaluate the motion vector between the Nth image and N-1th image.
3. it use Three Steps search algorithm.
4. this algorithm finds the closest pixel near the original pixel in three times.-1. This function is for image (width = 176, hight = 144) only. But you can modify the related value to fit yours.2. It is used to evaluate the motion vector between the Nth image and N-1th image.3 . it use Three Steps search algorithm.4. this algorithm finds the closest pixel near the original pixel in three times. Platform: |
Size: 94208 |
Author:samk |
Hits:
Description: 读入一个视频序列中的任意两帧,对这两帧图像进行运动估计(全搜速方法),并且利用得到的运动矢量进行插值重建处于这两帧中间位置的图像。-Reading into a video sequence of arbitrary 2, the two-frame image motion estimation (full-speed search method), and the utilization of the motion vector for interpolation frame reconstruction in the middle of these two images. Platform: |
Size: 3072 |
Author:吴珅 |
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Description: 这是基于运动块的分析,输入的是运动矢量,检测出对应的矢量-This is based on the movement block analysis, the importation of the motion vectors, detected in the corresponding vector Platform: |
Size: 2048 |
Author:十年砍柴 |
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Description: 该函数的功能:进行运动矢量的矢量量化编码,返回的是解码后的运动场.-The function of the function: motion vector for the vector quantization coding, is decoded to return to the stadium. Platform: |
Size: 1024 |
Author:华思雨 |
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Description: Fast Motion Detection
calculate motion vector and representative motion vector for two sequence of images Platform: |
Size: 2048 |
Author:georgies |
Hits:
Description: 画运动矢量的好例子。用matlab实现
画运动矢量的好例子。用matlab实现-Painting a good example of motion vector. Using matlab to achieve a good example of motion vector drawing. Achieved using matlab Platform: |
Size: 3913728 |
Author:任晓斌 |
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Description: 该代码是图像处理中块匹配的全搜索算法,是用来估计和计算运动矢量的。-The image processing code is the full search block matching algorithm is used to estimate and calculate the motion vector. Platform: |
Size: 1024 |
Author:shasha |
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Description: WALKER Human gait.
This model, developed by Nikolaus Troje, is a five-term Fourier series
with vector-valued coefficients that are the principal components for
data obtained in motion capture experiments involving subjects wearing
reflective markers walking on a treadmill. The components, which are
also known as "postures" or "eigenwalkers", correspond to the static
position, forward motion, sideways sway, and two hopping/bouncing
movements that differ in the phase relationship between the upper and
lower portions of the body. The postures are also classified by gender.
Sliders allow you to vary the amount that each component contributes to
the overall motion. A slider setting greater than 1.0 overemphasizes
the characteristic. Can you see whether positive values of the gender
coefficient correspond to male or female subjects?- WALKER Human gait.
This model, developed by Nikolaus Troje, is a five-term Fourier series
with vector-valued coefficients that are the principal components for
data obtained in motion capture experiments involving subjects wearing
reflective markers walking on a treadmill. The components, which are
also known as "postures" or "eigenwalkers", correspond to the static
position, forward motion, sideways sway, and two hopping/bouncing
movements that differ in the phase relationship between the upper and
lower portions of the body. The postures are also classified by gender.
Sliders allow you to vary the amount that each component contributes to
the overall motion. A slider setting greater than 1.0 overemphasizes
the characteristic. Can you see whether positive values of the gender
coefficient correspond to male or female subjects? Platform: |
Size: 2048 |
Author:moon |
Hits: