Questions tagged [tracking]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
3 votes
2 answers
156 views

Kalman Filter Motion model with moving sensors

Suppose I have an object that I am tracking with moving sensors using a basic Kalman Filter (for example, think of a ship being tracked by satellites). In the simplest case where the sensors are ...
  • 31
3 votes
0 answers
60 views

State estimation in HyperSonic Missiles

I'm curious, what would be the correct approach for state estimation for hypersonic Missiles? Would it be exclusively GPS and IMU? Historically these are what was used, but I have also seen ground ...
0 votes
0 answers
20 views

IF Data for GPS C/A and B1C Signals

I am testing a custom GNSS receiver in MATLAB environment. The receiver is developed for GPS C/A and Beidou B1C signals. I need two short lengths (1 min) IF data for two basic scenarios. I could not ...
2 votes
1 answer
68 views

Detecting & tracking an arbitrary object in a video

I have a video from a fixed (stationary) camera. Sometimes there are slight movements in the frames (e.g. tree moving a bit in the wind). Other times, some might walk into the view of the camera, a ...
  • 121
0 votes
0 answers
12 views

Mixing Constrained Properties in an Interacting Multiple Model Filter

While implementing an Interacting Multiple Model tracking filter with one model being a constant turn rate model, I began questioning how the mix should behave while taking into account that some ...
  • 225
8 votes
1 answer
561 views

Estimate and Track the Amplitude, Frequency and Phase of a Sine Signal Using a Kalman Filter

There is sinusoidally controlled signal, which other than being noisy, can change values for amplitude, frequency, phase and offset. At every new sample a new sine is fitted for the last N samples. ...
0 votes
2 answers
85 views

GPS | Retain Signal Tracking after Noise Bound

I have an IF data, 2 seconds signal sample from only one GPS satellite, I know the PRN number of the satellite. ...
1 vote
1 answer
44 views

Friendly target identification in radar

How do radar systems identify friendly targets to avoid AA locks during combat scenarios? Do friendly planes broadcast a known signal or is something else going on?
5 votes
2 answers
143 views

How Are Unmeasured Properties (Velocity and Covariance of Velocity) Handled with a Kalman Filter?

I'm trying to understand how I can update a Kalman filter with a state variable for position and velocity when I only measure position. I have a covariance matrix of the position measurements. But ...
  • 225
0 votes
1 answer
79 views

How is a Particle Filter used to Estimate Parameters of a State Transition Function?

In the tutorials on particle filters that I have seen, it seems that the state transition function is already known. This example from Matlab, for example, states the the Plant or State Transition ...
  • 225
1 vote
1 answer
63 views

Taylor series expansion in mean shift tracking

I am trying to understand the first order Taylor series expansion when deriving the math behind mean shift tracking. Given the Battacharya coefficient between the target descriptor and candidate ...
  • 273
0 votes
1 answer
133 views

Why is beamforming needed in 5G?

With the advent of 5G Era, base station density increases, the cell radius decreases, and LOS propagation gets more dominant. So, why do we need for beamforming in 5G NR, although we have smaller ...
1 vote
0 answers
143 views

What is the order of the output of HoughCircles in OpenCV, when having several circles on a frame?

So I am trying to use stereo vision to calculate the depth of several red balls. With the function HoughCircles, I get an output at one frame from one of the cameras like for example: ...
1 vote
1 answer
64 views

What is the name for a constant-heading Kalman filter model for vehicle tracking?

When applying Kalman filtering to estimate the position of a car, there are several different vehicle dynamics models that you could use. One of the simplest is "constant velocity" or CV, ...
0 votes
0 answers
23 views

How to correct for "track jumping" for multi-lined time series

I am creating an algorithm that tries to estimate three time-series that should not cross each other (voice formants). The problem is sometimes the algorithm mistakes one time series with another and ...
  • 133
2 votes
0 answers
116 views

How Do Particle Filters Get Velocity When Tracking with Pos Measurements

I am new to particle filtering. I can see when particle filters are used with Ensemble Kalman's, the velocity of the states are taken care of by the Kalman. When tracking using particle filters ...
  • 21
0 votes
0 answers
15 views

Tracking a signal

I have two signals representing steering wheel angles, one representing the driver’s inputs (red), while the other one represents the system’s reference signal (blue). I want to estimate in real time ...
  • 1
1 vote
0 answers
38 views

KLT tracker, reject tracked occluded points

I want to use KLT tracker for a visual odometry application. Thus, I only want to track object features. Currently I'm using OpenCV's implementation ...
1 vote
0 answers
85 views

Understanding performance of Lucas Kanade Iterative Image Registration Technique

I am reading the paper: Lucas, B. D., & Kanade, T. (1981). An iterative image registration technique with an application to stereo vision. I am having some trouble understanding section 4.3 ...
  • 263
2 votes
0 answers
246 views

How does a Costas Loop lock to one of multiple BPSK signals

I've been looking into how GPS receivers work in terms of signal processing. When a GPS receiver tracks the received signal, it often uses a Costas loop to synchronize the carrier. How that works ...
  • 29
0 votes
0 answers
40 views

Is my Kalman Filter model reasonable? Using for a 3 wheels rover platform

Background: I'm building a 3 omniwheel rover platform that looks something like this: It has 1 IMU sensors on each of the wheels (3 in total). So in theory, I can get gyroscope and accelerometer data ...
  • 161
2 votes
1 answer
366 views

GPS signal tracking

I have a complex input signal of 300 ms at baseband. I have already performed acquisition on this signal and acquired four GPS satellites and have the code phase and Doppler frequency of each of them. ...
5 votes
1 answer
6k views

Using the Kalman filter given acceleration to estimate position and velocity

Note : port from this post, until fully merged. I am reading data from an accelerometer. I want to use this data to estimate velocity and position. Originally, I performed a double integration of ...
  • 273
5 votes
1 answer
155 views

IMU Speed Tracking Through Known Path

I am new to signal processing and Kalman Filtering here. Thanks for your help. I working with an IMU for a tracking project where the IMU moves throw a known path but at an unknown speed (within ...
-1 votes
1 answer
230 views

Radar Tracking Algorithms

I would like to know the algorithms to get the angle, range, distance.. so I'm planning to do antenna tracking. What should I do in basic steps to track objects using that module ? what algorithms ...
0 votes
1 answer
277 views

Frequent update of the Kalman Filter covariance matrices

I have inherited some code that does vehicle localisation based on two main inputs: sensor input from the vehicle odometry and map localisation based on matching camera images to road features. Both ...
  • 103
2 votes
0 answers
59 views

Mid-point of worm-like objects

I have a video of worm-like objects which move. They can move in a straight line, they can rotate in circles, they can move in a serpentine/winding/sinuous way. I need to track them. I already have ...
  • 123
1 vote
2 answers
96 views

Tracking unknown number of signals/coordinates

I have a time series data. Where for every time step I have a varying number of object coordinates. I want to track these over time. There might also be some missing coordinates for a few frames. ...
  • 36
2 votes
1 answer
311 views

Transfer function of a PLL Loop Filter that can support a linearly increasing (chirping) frequency

What is a transfer function for a the loop filter of a PLL that can track a sinusoid of the form: \begin{equation} x(t)=\cos\left(2\pi\left(\frac{1}{2}c_0t^2 + f_0t + \phi_0\right)\right) \end{...
  • 125
3 votes
2 answers
2k views

How to reliably detect the state (opened or closed) of sliding doors from a statically-positioned video stream

I have a mounted (static) camera that has a view of a set of sliding doors. Since doors are rectangular in nature, and they don't have many degrees of freedom, this seems like a problem that should ...
  • 131
2 votes
2 answers
235 views

How to choose the "best" measurment (from a given set) as input for a kalman filter?

Problem: For an object tracking scenario with multiple objects and multiple tracks, I want to choose the "best" assignment object<->track. Therefore, I need a parameter indicating how suitable an ...
1 vote
1 answer
60 views

Object Tracking with Improved Detector of Objects Similar to Target

I read this paper and need your help to understand it. Object Tracking with Improved Detector of Objects Similar to Target In paper, particle at the frame $t$ is represented by: $$c^{(i)}_t(i=1,\...
0 votes
2 answers
4k views

Object detection in binary image

This task comes from tracking object on a steady background. So far I was able to remove the background and obtain binary masks like this: I need to get bounding rectangle of the toy without the ...
  • 21
2 votes
2 answers
1k views

Structuring Kalman filter for tracking problem where only position is known

I'm new to Kalman filters and my extensive web search about them has helped me understand the majority of it (or so I think). However I still need some light shed on my problem formulation. I have a ...
  • 21
4 votes
2 answers
3k views

Kalman Filter for estimating position with nonconstant velocity & acceleration

I am trying to estimate the position & head direction of a rodent going through a 2D environment (a circular surface of 1m radius). Above his head is an overhead camera which records 4 LEDs ...
0 votes
1 answer
129 views

How to tune PID parameters to track a family of reference signals?

I have a system that is controlled by a PID controller. I tune the controller to track a reference signal that is a unit step function. Is there a way to extend the obtained results to be able to ...
  • 145
2 votes
1 answer
2k views

What does "kernel based" mean?

In my thesis I try to explain what kernel based methods are, especially the meaning for object detection. I know kernel based methods like Mean- and CamShift and I know how to use them. I understand ...
  • 123
14 votes
1 answer
34k views

Kalman filter - understanding the noise covariance matrix

What is the significance of the noise covariance matrices in the Kalman Filter framework? I am referring to: process noise covariance matrix Q, and measurement noise covariance matrix R at any ...
  • 285
6 votes
1 answer
2k views

Is it possible to do single vehicle tracking using Fourier transform?

I am working on a project in image processing which is based on importance of phase only reconstruction of a signal obtained using Fourier transform.For more information about phase only ...
  • 539
1 vote
0 answers
183 views

pre-processing to improve feature detector before tracking

I am trying to make tracking for soccer player, I need to detect features from this player and then estimate the distance difference of these pixels over number of frames. first I have to detect the ...
  • 171
0 votes
1 answer
812 views

Is my algorithm about blob tracking for vehicle following correct?

I'm doing vehicles tracking project. The video is a one-way, no vehicles occlusion. After doing background subtraction, erosion and dilation, I get bounding box objects for each frame, and I can find $...
1 vote
1 answer
66 views

Tracking a Predefined Curve in a Series of Images

I have a series of images. I want to be able to draw a curve on the image and track the curve in the series. For example, in the figure below, the left image illustrates the original image at time <...
  • 142
0 votes
0 answers
51 views

Pedestrian Re-identification during tracking

During the multi-camera tracking, there is a situation where one person moves from one camera's coverage area to another. In that case that person has to be re-identified(as the one from previous ...
  • 123
0 votes
1 answer
115 views

Queries on Kalman Filter

I am trying to apply kalman filter for video processing , i am studying about it from different sources but it take me towards question that if i don't know that where my object come in frame mean i ...
  • 621
2 votes
1 answer
177 views

Histogram operation for improving visual object tracking

I'm developping a people tracking with nearest neighbour data association technique and kalman filter for smoothing/predicting. The tracker works quite good but sometimes it mismatch objects if they ...
  • 914
2 votes
2 answers
282 views

Situations where complexity is too big to exceed linearity and gaussianity

I'm studing about Kalman Filter and Particle Filter in multiple target tracking in computer vision (tracking pedestrians). Reading sientific papers I'm colliding with a lot of sentences like: The ...
  • 914
2 votes
1 answer
1k views

How to get more accurate results with OpenCV

I would like to ask about this function in OpenCV: cvTermCriteria( CV_TERMCRIT_ITER | CV_TERMCRIT_EPS, 20, .3 ) How do I get more accurate results - do I need ...
  • 43
0 votes
1 answer
2k views

Tracking object that is missing in some frames

I am trying to track small object in videos using LK but the problem is, some time the object does not appear in the frames ! How can I track an object that does not appear in few frames ?? how ...
  • 43
3 votes
2 answers
161 views

object level sensor fusion for multiobject tracking

I want to fuse objects coming from several sensors, with different (sometimes overlapping!) fields of view. Having object lists, how can I determine whether some objects observed by different sensors ...
  • 161
2 votes
0 answers
525 views

Extended Kalman Filter - how do I get transition functions

I am measuring position and velocity, both have some noise in them. Velocity is defined as derivative of position. The system is apparently non-linear so I need to use EKF. Model: \begin{align} X&...