From Beginner to Expert: Optical Flow for Object Tracking and Trajectories in OpenCV Python
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In this video 📝 we are going to take a look at Optical Flow for Object Tracking and Trajectories in OpenCV Python. We will talk about what optical flow is, and what it can be used for. We will go through the code to set up object tracking with sparse optical flow. At the end of the video, we will see the results of the tracking and trajectories.
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#OpticalFlow #ObjectTracking #OpenCV #ComputerVision - วิทยาศาสตร์และเทคโนโลยี
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oh bless you god!! your videos are such helpful. I write my bachelor's thesis rn and you really help me with this shit
Very informative video , thanks for uploading, can we use optical flow for micro expressions recognition?
Amazing video, the best I saw about this topic
Thanks a lot for watching!
How do i go about tracking objects if the camera is not fixed and is moving?
Very nice video! Thanks for sharing the code. Works great :) Quick question - why do you calculate p0r in line 39 and use it later to keep the good trajectories? Couldn't you just use _st ==1? Thanks!
Very nice tutorial. What is the object that stores all trajectories? it is weird but after one minute of my video analysis, I get 40 trajectories stored in the "trajectories" object. Surprisingly, after 2 minutes I get less trajectories stored....I am confused. Thank you in advance.
GREAT tutorials, thanks! One question: how do we limit or manually select from among the good quality features in order to limit what is tracked?
Hi thanks a lot. I'll recommend u want my newest videos about visual odometry with monocular camera. I show in that video how to only use the best key points tracked. Very similar to this video here
Also, what is a "corner" as referenced in the code?
@@moses5407 a corner is basically just a corner detected in the image. I use a corner detector to find the key points to track with optical flow
Thanks for the video and the explanation. It's it possible to get the optical flow from specific objects inside a frame instead of all the objects ?
Thanks for watching! I actually have a video about sparse optical flow where we just do it for individual points. It could be objects as an example
@@NicolaiAI Could you provide me the link of the video, I couldn't find it.
Excellent explanation, Nicolai.
I was left with a doubt. How would I detect only static features of the environment?
Thanks a lot for watching! I also have a video about dense optical flow where u can get the static points as well
Hey Nicolai, thank you for tutorial. I was going to unlike it , because form video in few moments is really hard to check the code , but then realized that you have repository on github with code , therefore big thanks for you.
Yeah thanks a lot for watching! A bit old video, but definitely check out some of my recent ones!
Hello Nicolai. First of all thanks for uploading such detail video. It's very helpful. I'm applying this on real time vehicle detection and tracking through dashcam. And I want to detect only vehicles or motorbikes on the road. Not the changing surroundings like trees, street lights or bridges. Can you help me in this regard. Thanks
Hey, I am also working on something similar to this. Did you find a solution? If you could share your idea, it would be really helpful!
Great tutorial! Please upload this file to GitHub again, have not been able to find it and some of the code is not visible in the video
Can u please provide the exact code repo??
Bro I can't find your repository (at least none of that name contains 'optical')
github.com/niconielsen32/ComputerVision/tree/master/opticalFlow