Kalman Filter Explained With Python Code From Scratch

This snippet shows tracking mouse cursor with Python code from scratch and comparing the result with OpenCV. The CSV file that has been used are being created with below c++ code. A sample could be downloaded from here 1, 2, 3.

Python Kalman Filter

C++ and OpenCV Kalman Filter

Rapidcsv has been downloaded from here

 

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john
2 years ago

Thanks for sharing.keep up the good work.

djamila_st
2 years ago

good article

Ardian
Ardian
2 years ago

Hi,

Thanks for the tutorial. I try the code and compare all the errors (RMSE) w.r.t the given ground truth. Here is the result:
1. Meassurement error: 1.145
2. opencv kalman error: 5.80
3. your code of kalman error: 7.92

Why do we have larger error on estimated kalman than the measurement? Thanks.

djamila_st
2 years ago

Thank you and thank you for sharing

djamila_st
2 years ago

Thank you so much for this information. It is very helpful.

djamila_st
2 years ago

I think this is one of the best blogs for me because this is really helpful for me.

noor
1 year ago

thanks for sharing

djamila_st
1 year ago

thanks for the reports

Jonathon Walker
1 year ago

I found this blog from Ben Nam’s youtube video, “https://www.youtube.com/watch?v=jn8vQSEGmuM,” and would like to use a lot of this code and ideas in my non-thesis research paper. I am guessing that you have all this up for individuals to use and I plan to thoroughly cite this website directly. If you have any specifics or real names you’d like me to cite or restrictions on use, please contact me and let me know.

djamila_st
1 year ago

Thanks for the great reminders, I’m not finding that poll page.

vaidehi
vaidehi
1 year ago

how we can get real time sensor data into this program instead of csv file?

ferahtia.FS
1 month ago

merci pour les informations  

Luka
Luka
1 month ago

Thank You for the great explanation and the example code. I looked at the Python code and can understand it. But how can I apply this code to some data? I assume I need a csv-file with the groundTruth and measruements. But how do I obtain ground Truth? I only could imagine measuring something with some noise and collecting the data but I don’t have the ground truth. Also can you explain what kind of data “opencvKalmanOutput” contains? I thought we can calculate Kalman Gain based on our other values, so why do we need a dataset for it? Would… Read more »

fatmer
1 month ago

his is perTfect, thanks! 
http://virtuelcampus.univ-msila.dz/facsh

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