Hi guys,
I'm using opencv tutorial to detect face and eyes. I'm using opencv242, VS2010, and Win 7 x64. When I run the code, the frame motion is really slowly. Even when I use method VideoCapture, it's make nothing. I think it's caused by Haar classifier. Is there anyone have solution how to accelerate detection time using HaarCascade?
Regards,
Andrew
Basically there are several ways of going faster
Another question: do you perform the eye detection only on possible face regions? This will also reduce calculation time alot. Furthermore, the more positive detections there are in an image, the longer the processing will actually take, because those regions will go deeper in the cascade.
Thank you,Steven.
I've reduce the frame size, but the smaller it takes, the more difficult to detect. Do you have any idea how to improve it? For face detection I'm using LBP face detection, but there are no classifier for eye detection. I detect face first, and get faceROI, from faceROI then I detect eyes.
What you could do is downscale the frame, but upscale your frame windows before processing. It will then again find more detections, but again detection time will rise. It is always a tradeoff between both. But try the GPU implementation please, it goes extremely well. Doing a 35 frame per sec face detector on webcam feed with LBP. Remember that applying the eye detector to the roi, is again a factor that slows down :)
@StevenPuttemans do you have any idea, what face detection method for video-based application is suitable for real-time purpose? By reducing image size will not help in many applications which require details.
If you know your setup, achieving real time detection with the LBP model is quite straightforward. Play with the minSize and maxSize parameters. Furthermore if it is a frontal face camera, you could reduce the scale parameter to achieve faster detection.
Asked: 2013-04-05 11:22:44 -0600
Seen: 5,814 times
Last updated: Apr 05 '13
Did you check this one? http://answers.opencv.org/question/755/object-detection-slow/#760
Yup. I've checked that link. Thanks a lot. I've tried to resize frame into smaller size (320 x 192). The frame motion is faster, but it seems difficult to detect eyes. When the frame size is big (400 x 300) it can detect but slowly frame motion. Do you have any idea how to make detection is small frame using haarcascade?