excuse me i need help regarding this topic

The humidity in the region of my socks is increasing rapidly.

Hi There, I'm not sure how much help I can be, but I will try. I assume since you are commenting on this video, you have video of the object that is moving. If it is not moving at a right angle to the camera direction, it will be very difficult to get any useful information out. The general approach you want to use for this is to assume that the speed of an object is constant (briefly) between two frames of the video. If you have a lab setup, you can take video of the object with a reference next to it. These look like rulers basically, usually black and white, with known spacing. You can then just measure how many pixels per marker distance (so if 10 pixels = 1 marker, and 1 marker = 10 cm, then 1 pixel = 1 cm). You can then use the frame rate of the video (accessible from the video format, or the video object, as described in this video), and just divide by the time 1 frame takes (or just multiply by the frame rate, it's the same thing). Now if you don't have a reference, you have a whole different problem. You need to generate one somehow. If you known the size of the object, it can be it's OWN reference I think actually (this is how human eyes work - it's why a fly looks like it is moving very fast, when in fact it is still walking speed). Another possibility is to work out the field of view of the camera after the fact in degrees per pixel, and then estimate the distance to the object and work out the remaining side of the triangle. Another option is to use known landmarks which happen to be nearby. So if you were trying to figure out how fast a car was going as it sped past your house, you could use road markers that you measure the distance between for example. Anyway, giving more general advice is probably not helpful, but those are my thoughts on how to do what you asked. If you are asking about non-video motion, probably the easiest thing is record it on video as above :p Good luck! -Kyros

You should be able to process each frame in the loop as it's loaded. For large files this is virtual ly required as you will run out of memory. For small files you can load and store each frame and then work on the data cube.

To make a plot, just calculate per frame whatever you are interested in, drop it in a vector, and then plot at the end after all frames are looped over. Thanks :)

Hi Rohan! You can indeed transform the frames and then display it. The frame that is grabbed and then imaged in the code is a 3 channel (RGB) image, you can do whatever you like to it once it is extracted, including applying a technique which adjust perspective. I don't know anything about such techniques though, but the raw data can be collected and manipulated for almost anything you want to do using the code in this video. Goodluck! ~Kyros

I got 1920x1080 29fps video, maybe it's too much, i tried 1280x720 29fps, it's slow too

Is the video itself on the ssd? That may help. Otherwise I'm not sure.

That sounds like a really cool project! Unfortunately, I have no idea how to do with matlab functions... I think I could imagine doing it with neural networks using pixel mapping? Boy what a tough project though. Sorry I can't help, good luck! Let me know if you figure out how to do it!

You absolutley can, either using the figure loop I show here, or the preview command as discussed in the video :)

CodingLikeMad okey, cool! Would it work wirelessly as well? I mean, if I want to transmit a live video from another room and receive it to matlab

CodingLikeMad And do you think can I use this for the transmitting side as well?

The webcam interface is usb based. I'm not familiar with any way to this wirelessly, with this setup, but there might be some kind of wireless usb bridge? Let me.know if you find one :)

In the video I copy the image frame to a temporary variable. This is essentially an array, and you can crop it directly by selecting a region of it, ie, temp = vid.readFrame() temp = temp( 200:400, 300:600, :) imshow( temp, 'Parent', ax) At least, I think that should work, let me know if something goes wrong.

Hi Kammelna, It sounds to me like you don't really have a video file per se, but rather someone has already converted the video file into a matrix for you, and then smushed the 8x8 frames together into one giant matrix and handed you that. What you do next depends on how you want to work with the data, but probably the right first step is to make a routine that generates those 8x8 frames, and saves them into a matrix with the correct dimensionality. IE, something of size [8,8,1,46]. You can do this potentially with the reshape command, or just a for loop if it is easier to write and you don't have the speed concerns(it sounds like you mostly already have this). A matrix like this is actually already appropriate for feeding into tensor flow for classification of images actually, if you have access to the deep learning toolbox: www.mathworks.com/solutions/deep-learning/convolutional-neural-network.html (although with only 46 samples this will be likely impossible to use productively). Just my thoughts on how to handle it. Each image is accessible via a command like img(:,:,1,index), where index = 1 to 46. You may want to apply a squeeze() operation to deal with the singleton dimensions. Also, I'm assuming your images are grey scale here, otherwise the size is [8,8,3,46]. Best, Kyros

CodingLikeMad Hi Kyros, Thanks for your quick response. Yes you’re right the dataset is given as you mentioned. As for the 46 samples, they are only for one activity and there are 9 activities in total, also the same activities are performed by 6 different subjects. So in total I think the samples are around 55K. Thanks for your suggestions and Will try them. Regards.