Questions tagged [visual-tracking]

Visual-tracking is a computer-vision task that consists of detecting and tracking objects with a camera.

There are many ways of tracking, like sensors, electromagnetic signals and visual tracking. Visual tracking relies on real-time images captured from a camera for detecting and tracking objects.

Visual tracking is widely used in augmented-reality field for natural feature tracking, fiducials and SLAM applications.

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Step by Step Camera Pose Estimation for Visual Tracking and Planar Markers

I have been working on the topic of camera pose estimation for augmented reality and visual tracking applications for a while and I think that although there is a lot of detailed information on the task, there are still a lot of confussions and…
Jav_Rock
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Vehicle segmentation and tracking

I've been working on a project for some time, to detect and track vehicles in video captured from UAV's, currently I am using an SVM trained on bag-of-feature representations of local features extracted from vehicle and background images. I am then…
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Purpose of image feature detection and matching

I'm a new guy in image processing and computer vision, so this question might be stupid to you. I just learned some feature detection and description algorithms, such as Harris, Hessian, SIFT, SURF, they process images to find out those keypoints…
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"Bi Directional" Kalman Filter

I am working on a project in Object Tracking, i.e. need to predict the location of next bounding box. I used a Hungarian algorithm with a Kalman Filter (which is a common method in this domain) which produced decent results. However, lots of the…
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Visual Tracking / Object Tracking: Estimate the Direction the Whale Is Moving

I am trying to find out which way the whale is moving. So I have an image of the whale swimming in the water and I want to find out where is it located and which direction does it swim (with respect to X/Y coordinates of the image). For example…
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How to Find the Probability of Kalman Filter States?

I am working on a video object tracking problem. I am using Kalman filter to predict and correct the object position return by an algorithm such as CamShift. I want to adjust the likelihood probability of the states so as to customize the weight of…
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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 mounted on his head. The position is calculated as the…
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Why optical flow ? why not tracking

I have a question that might be stupide ! Supposing that I try to detect object moving in a video or human action. Many works are based on optical flow computation. My question is why using OF is the best for motion detection. A tracking of pixels…
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Algorithm for object tracking

In a video sequence, I would like to track an object. Right now, my detection algorithm can correctly locate the object in approximately 10% of the frames, and incorrectly find something else in 5% of the frames. The incorrect detections are…
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Processing Multiple Images to Detect Moving Object in Low SNR Conditions

I am new to this forum and new to the use of Fast Fourier transforms although I can program in Python 3 a bit. I have an unusual question and am seeking some general advice on (a) whether what I am proposing is possible (b) whether it will actually…
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Object Tracing with Particular Color

I started working on a autonomous robot project in my spare time. Everything is finished except the image proccessing part. I want my robot to follow an object with particular properties. For the start, I decided to use color as the particular…
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How can I track detected objects from frame to frame

I want to track people's faces in a video stream (like a security camera), but I am running into a problem. I was using a Haar classifier to find the faces and sending the detected faces to a system to identify the person that was detected (so I can…
Mark Omo
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Kalman filter for tracking obstacles

I'm developing a Computer Vision project in Matlab as an aid to visually impaired people. The setup would be a stereo pair of cameras which the blind person would carry. Using this stereo information, I generate a disparity image using Semi-Global…
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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 how the shift work. But: What does the kernel do,…
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KLT tracker implementation

I'm working on a object tracker based on KLT algorithm using matlab. Can anybody guide me how I can find the features and calculate the distance in the sequence of the frames? Thanks.
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