Can I take the image feed from Analog Camera using OpenCV, in a similar manner as it is done using the Digital Camera?
As-In the concept of FPS, does that work similarly with the Analog Camera's?
Thank You.
You would typically connect a CCTV camera to a capture board and then process as normal. Example cards can be found on the ZoneMinder site, software for video surveillance.
http://www.zoneminder.com/shop.html
One option I used in the past is a Video to USB Converter. I used this one. I used it on Windows, but it might support also other platforms.
I didn't try it, but the camera interface should work directly with the OpenCV capture functionality.
Analog cameras have a fixed FPS. If I am not mistaken it is different for PAL and NTSC, try searching for it.
Related
I know a similar question has been asked before, but I have a very specific use case and thought I might put more details here.
I'm not an iOS dev, but very curious about the ARKit -- specifically want to test out the facial capture (tracking facial expressions) using ARKit ARFaceAnchor.
I want to know if it is possible to feed pre-recorded videos to ARKit instead of the camera feed.
I did find an article with sample code here about using "sensor replay".
https://github.com/ittybittyapps/ARRecorder/tree/master/ARRecorder
https://www.ittybittyapps.com/blog/2018-09-24-recording-arkit-sessions/
Unfortunately it is not possible ship an app this way.
I know that the facial capture doesn't necessarily require depth sensor data (I've tried it by holding up the camera to a pre-recorded face on a monitor).
So I'm curious to know if anyone knows of a way to feed a static, pre-recorded video to the ARKit?
Thanks in advance for the help :)
I need to capture frame from a DSLR camera. I know that i can use
Videocapture cap(0);
for capture from default webcam. If i connect with usb the camera and run the code, It seems like he cant find the camera.
What should i do for capture from the DSLR?
In general, I have found getting OpenCV to work with anything besides a basic webcam almost impossible. In theory, I think it uses the UVC driver, but I have had almost 0 luck getting it to read. One thing you can try is using VLC and see if you can capture a video stream from your camera with it. If you can you might get lucky and figure which camera or video device the DSLR actually is.
If your DSLR has a development SDK maybe you can capture frame using their interface and then use OpenCV for processing. I do this for a project. I have a 3rd party SDK that I use to find and control the camera and them I move the video data into OpenCV (EmguCV) for processing.
Doug
I would like change source camera video by custom camera stream using Vuforia and Unity:
Take the video stream from the camera (Android cam or Webcam)
Improve contrast, brightness or other manually (for example through openCV) and add elements or another pattern that could be optimally recognized by Vuforia.
Resend the modified video stream in Unity 3D and have it detected by Vuforia
It is possible ?
Is there another mode ?
As far as I know, this is not possible. Vuforia takes its input directly from the camera and processes it - the maximum you can do is alter some of the camera settings (if you want to explore that, read about the Vuforia advanced camera API), but this is not enough for you according to your requirements.
Your only option if you must do processing on the input video is to handle the detection and tracking yourself without Vuforia (for example, using OpenCV), which is obviously not so easy...
You can use any software for faking the camera like http://perfectfakewebcam.com/.
just prepare your video and feed it to the fake webcam software and then from unity change vuforia camera device to the fake webcam
I am working with Xtion Pro Live on Ubuntu 12.04 with Opencv 2.4.10. I want to do object recognition on daylight.
So far i have achieved object recognition indoors by producing a depth and a disparity map. When i go outdoors the maps that i mentioned above are black and i cannot perform object recognition.
I would like to ask you if Asus Xtion Pro Live can work outdoors.
If it cannot, is there a way to fix it (through code) in order to do object detection outdoors?
I have searched around and i found out that i should take another stereoscopic camera. Could anyone help?
After some research I discovered that the Xtion Pro Live stereoscopic camera, can not be used outdoors because of the IR sensor. This sensor is responsible for the production of depth map and is affected by sunlight. Because of this, there are no clear results. Without clear results the creation of depth and disparity map (with the proper values) is impossible.
I'm currently working on a project, where I need to detect a face and then take a photo with the camera. (after the camera focused everything correctly).
Is something like this possbile in iOS?
Are there any good tutorials on this?
i would suggest to use opencv for this as it has proven algorithm and fast enough to work on image as well as video
https://github.com/aptogo/FaceTracker
https://github.com/mjp/FaceRecognition
This solution will work for android too using opencv port to android.
Use GPUImage for face detection.
Face detection example is also available in GPUImage.
see last point in FilterShowCase example project of GPUImage for face detection.
iOS 10 and Swift 3
You can check apple example you can detect face
https://developer.apple.com/library/content/samplecode/AVCamBarcode/Introduction/Intro.html
you can select the face metedata to make camera track the face and show yellow box on the face its have good performace than this example
https://github.com/wayn/SquareCam-Swift