Description: Author: David Sedarsky
Summary: MatLab GUI for interface tracking and edge velocity determination
MATLAB Release: R14SP2
Required Products: Image Processing Toolbox
Description: Itrac works on image pairs taken at times T1 and T2, and tracks the motion of features in the images selected using thresholding and edge detection. Two sample image pairs (LIF images of OH in a turbulent flame) are included in the archive. Some of the work that led me to develop Itrac is detailed here: http://www.opticsinfobase.org/abstract.cfm?URI=ol-31-7-906 Platform: |
Size: 1025369 |
Author:Jallon |
Hits:
Description: Author: David Sedarsky
Summary: MatLab GUI for interface tracking and edge velocity determination
MATLAB Release: R14SP2
Required Products: Image Processing Toolbox
Description: Itrac works on image pairs taken at times T1 and T2, and tracks the motion of features in the images selected using thresholding and edge detection. Two sample image pairs (LIF images of OH in a turbulent flame) are included in the archive. Some of the work that led me to develop Itrac is detailed here: http://www.opticsinfobase.org/abstract.cfm?URI=ol-31-7-906-Author: David Sedarsky Summary: MatLab GUI for interface tracking and edge velocity determination MATLAB Release: R14SP2 Required Products: Image Processing Toolbox Description: Itrac works on image pairs taken at times T1 and T2, and tracks the motion of features in the images selected using thresholding and edge detection. Two sample image pairs (LIF images of OH in a turbulent flame) are included in the archive. Some of the work that led me to develop Itrac is detailed here: http://www.opticsinfobase.org/abstract . cfm? URI = ol-31-7-906 Platform: |
Size: 1025024 |
Author:Jallon |
Hits:
Description: 1、 假定有一目标沿水平方向运动，起始位置为(-2000米，500米)，运动速度为10米/秒，扫描周期 秒， , 米，采用蒙特卡洛方法对跟踪滤波器进行仿真分析，仿真次数为100次-1, it is assumed that the target has one movement along the horizontal direction, the starting position for the (-2000 meters, 500 meters), velocity of 10 m/s, scanning cycle of seconds, and rice, using the Monte Carlo method for simulation analysis of tracking filter The simulation frequency was 100 times Platform: |
Size: 124928 |
Author:刘思 |
Hits:
Description: 九维的卡尔曼滤波跟踪算法，包括xyz三方向和各方向的位置，速度，加速度。-Nine-dimensional Kalman filter tracking algorithm, including the three xyz direction and the location of the direction, velocity, acceleration. Platform: |
Size: 2048 |
Author:郑光海 |
Hits:
Description: Tracking targets with radar is an important step in ensuring safety in such endeavors as air travel or military operations. To account for inherent inaccuracies in raw radar measurements of position, and to obtain accurate velocity data, we implemented an algorithm called the Kalman Filter. The resulting track data was used, in conjunction with algebraic and trigonometric methods, to simulate target interception and collision prevention. Our system led an interceptor aircraft to its target and warned pilots of a potential collision, proving the effectiveness of our filter. Platform: |
Size: 320512 |
Author:Nadir |
Hits:
Description: This project deals with the tracking and following of single object in a sequence of frames
and the velocity of the object is determined. Algorithms are developed for improving
the image quality, segmentation, feature extraction and for deterring the velocity. The
developed algorithms are implemented and evaluated on TMS320C6416T DSP Starter
Kit (DSK). Segmentation is performed to detect the object after reducing the noise from
that scene. The object is tracked by plotting a rectangular bounding box around it in
each frame. The velocity of the object is determined by calculating the distance that the
object moved in a sequence of frames with respect to the frame rate that the video is
recorded. The algorithms developed can also be used for other applications (real time,
object classi cation, etc.). Platform: |
Size: 1197056 |
Author:vikas |
Hits:
Description: 在飞机无源跟踪中，用扩展卡尔曼滤波算法来实现平面变角速度模型。-Passive tracking the aircraft, using extended Kalman filter algorithm to achieve the flat model of variable angular velocity. Platform: |
Size: 10240 |
Author:刘浩明 |
Hits:
Description: Description
This function finds the velocity of a 2-dimensional planar wave from at least 2 sensors, by specifying its location (x,y) or (lon,lat) and its respective arrival time.
It returns the speed and direction (or tracking if coordinates were given):
>> [VEL,DIR] = velocity_triangulation(x,y,time,TOL)
where TOL is a tolerance time. You may get a figure with the results, like the one shown in the screenshot. Just take a look to the optional arguments.
Enjoy it!
Any comments and bugs reports will be very appreciated!
MATLAB release MATLAB 7.7 (R2008b) -Description
This function finds the velocity of a 2-dimensional planar wave from at least 2 sensors, by specifying its location (x,y) or (lon,lat) and its respective arrival time.
It returns the speed and direction (or tracking if coordinates were given):
>> [VEL,DIR] = velocity_triangulation(x,y,time,TOL)
where TOL is a tolerance time. You may get a figure with the results, like the one shown in the screenshot. Just take a look to the optional arguments.
Enjoy it!
Any comments and bugs reports will be very appreciated!
MATLAB release MATLAB 7.7 (R2008b) Platform: |
Size: 7168 |
Author:Józef |
Hits:
Description: This thesis aimed to eliminate tracking
error of traveling a circular profile on the CNC machine tools. Friction is one of the
most significant source of nonlinear disturbance for the motion control which caused
by the relative motion of different contact surface at the low velocity. The nonlinear
component of friction such as static friction (stiction) and the Coulomb friction should
be overcome so that the tracking error will be eliminated. When the X-Y tables are
tracking a circular profile, quadrant glitches appear at ninety degrees intervals, i.e. the
motion of one axis has a zero velocity crossing and reverses direction.-This thesis is aimed to eliminate tracking
error of traveling a circular profile on the CNC machine tools. Friction is one of the
most significant source of nonlinear disturbance for the motion control which caused
by the relative motion of different contact surface at the low velocity. The nonlinear
component of friction such as static friction (stiction) and the Coulomb friction should
be overcome so that the tracking error will be eliminated. When the X-Y tables are
tracking a circular profile, quadrant glitches appear at ninety degrees intervals, i.e. the
motion of one axis has a zero velocity crossing and reverses direction. Platform: |
Size: 685056 |
Author:tatos |
Hits:
Description: 雷达检测跟踪过程无缝连接过程。 雷达检测跟踪过程无缝连接过程。-Detection and tracking are normally considered separate processes. First the signal processing system associated with a sensor examines the signal to determine whether to call detection. Once detection is called, it is converted to an estimate of one or more of the components of the target s kinematic state, e.g., bearing, position, or velocity. This estimate (contact) is sent to a tracking system that determines whether the contact should be associated with an existing track or used to generate a new one. This process works well in high signal-to-noise ratio (SNR) situations but sacrifices performance in low ones. The tracking community is making progress toward seamless detection and tracking and recovering some of this lost performance. Platform: |
Size: 153600 |
Author:Haiser |
Hits:
Description: Tactically maneuvering targets are difficult
to track since acceleration cannot be observed
directly and the accelerations are induced by human
control or an autonomous guidance system therefore
they are not subject to deterministic models. A common
tracking system is the two-state Kalman Filter
with a Singer maneuver model where the second order
statistics of acceleration is the same as a first
order Markov process. The Singer model assumes a
uniform probability distribution on the target s acceleration
which is independent of the x and y direction.
In practice, it is expected that targets have constant
forward speed and an acceleration vector normal to
the velocity vector, a condition not present in the
Singer model. This paper extends the work of Singer
by presenting a maneuver model which assumes constant
forward speed and a probability distribution on
the targets turn-rate-Tactically maneuvering targets are difficult
to track since acceleration cannot be observed
directly and the accelerations are induced by human
control or an autonomous guidance system therefore
they are not subject to deterministic models. A common
tracking system is the two-state Kalman Filter
with a Singer maneuver model where the second order
statistics of acceleration is the same as a first
order Markov process. The Singer model assumes a
uniform probability distribution on the target s acceleration
which is independent of the x and y direction.
In practice, it is expected that targets have constant
forward speed and an acceleration vector normal to
the velocity vector, a condition not present in the
Singer model. This paper extends the work of Singer
by presenting a maneuver model which assumes constant
forward speed and a probability distribution on
the targets turn-rate Platform: |
Size: 409600 |
Author:jorgehas |
Hits:
Description: This project deals with the tracking and following of single object in a sequence of frames and the velocity of the object is determined Platform: |
Size: 1024 |
Author:唐涛 |
Hits:
Description: The estimation of target position and velocity is attempted on the basis of angular measurements only. This topic is of
interest for: airborne radar and sonar in passive listening mode, and electronic warfare systems in these cases the target
radiates either an electro-magnetic (e.m.) or an acoustic wave. The measurements are a!ected by white Gaussian noise
the presence of outliers is also considered. Two types of tracking lters are presented: (i) one processes a batch of data, (ii)
the other recursively processes the data-The estimation of target position and velocity is attempted on the basis of angular measurements only. This topic is of
interest for: airborne radar and sonar in passive listening mode, and electronic warfare systems in these cases the target
radiates either an electro-magnetic (e.m.) or an acoustic wave. The measurements are a!ected by white Gaussian noise
the presence of outliers is also considered. Two types of tracking lters are presented: (i) one processes a batch of data, (ii)
the other recursively processes the data Platform: |
Size: 286720 |
Author:Gomaa Haroun |
Hits:
Description: 该程序可以检测视频中的点并计算其角速度，跟踪并描述轨迹(The program can detect the point in the video and calculate its angular velocity, then track the point and describe the trajectory.) Platform: |
Size: 2625536 |
Author:mofi_
|
Hits:
Description: Moving object detection and tracking is often the
first step in applications such as video surveillance. The main
aim of project a moving object detection and tracking system
with a static camera has been developed to estimate velocity, Platform: |
Size: 165888 |
Author:bouch |
Hits:
Search - velocity tracking